IJCNN 2007: Orlando, Florida, USA

• Issam Dagher, Kamal El Tom:
  WaterBalloons: A Hybrid Watershed Balloon Snake Segmentation. 1-6
  
• Richard Neville, Liping Zhao:
  Building a Family of Neural Networks using Symmetry as a Foundation. 7-12
  
• Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala:
  Water Demand Forecasting Using Multi-layer Perceptron and Radial Basis Functions. 13-18
  
• Shakir Mohamed, David Rubin, Tshilidzi Marwala:
  Incremental Learning for Classification of Protein Sequences. 19-24
  
• Olutayo O. Oladunni, Theodore B. Trafalis:
  Regularization Based Classification Models. 25-30
  
• Gualtiero Piccinini:
  Connectionist Computation. 31-36
  
• Shenshen Gu, Jun Wang:
  A K-Winners-Take-All Neural Network Based on Linear Programming Formulation. 37-40
  
• Ju Jiang, Mohamed S. Kamel:
  Pitch Control of an Aircraft with Aggregated Reinforcement Learning Algorithms. 41-46
  
• Ramakrishnan Sundaram:
  Neural computing for data recovery. 47-52
  
• Ankur Gupta, Lyle N. Long:
  Character Recognition using Spiking Neural Networks. 53-58
  
• Gerardo Noriega:
  Propagation Delays in the Development of SOMs and Abnormal Brain Growth in Autism. 59-65
  
• B. Chandra, P. Paul Varghese:
  On Improving Efficiency of SLIQ Decision Tree Algorithm. 66-71
  
• Zhanquan Sun, Guangcheng Xi, Haixia Li, Jianqiang Yi, Jie Wang:
  Apply Feature Selection to the Integration of TCM and Western Medicine. 72-77
  
• Fen Xia, Qing Tao, Jue Wang, Wensheng Zhang:
  Recursive Feature Extraction for Ordinal Regression. 78-83
  
• Qingshan Liu, Jun Wang:
  A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation. 84-89
  
• Hsiao-Dong Chiang, Chandan K. Reddy:
  TRUST-TECH Based Neural Network Training. 90-95
  
• Naoki Masuda, Hiroshi Kori:
  STDP enhances frequency synchrony in neural networks with a pacemaker. 96-101
  
• Daniel Chillet, Sébastien Pillement, Olivier Sentieys:
  A Neural Network Model for Real-Time Scheduling on Heterogeneous SoC Architectures. 102-107
  
• Tomas Hrycej, Matthias Grabert:
  Warranty Cost Forecast Based on Car Failure Data. 108-113
  
• Weibao Zou, Yan Li:
  Image Classification Using Wavelet Coefficients in Low-pass Bands. 114-118
  
• Kunihiko Fukushima:
  Robust Pattern Recognition by Interpolating Vectors. 119-124
  
• Zikrija Avdagic, Senad Cernica, Samim Konjicija:
  Reducing Vibration of the Seat with Semi-active Damper by Using the Artificial Neural Networks. 125-130
  
• Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Simei Gomes Wysoski, Frances Joseph:
  Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries. 131-135
  
• Truong Quang D. Khoa, Masahiro Nakagawa:
  Training Multilayer Neural Network by Global Chaos Optimization Algorithms. 136-141
  
• Velu Suresh Kumar, P. Subbiah Kannan, Kandasamy Kalaiselvi, D. Kavitha:
  Optimal Estimation of Harmonics in Power System using Intelligent Computing Techniques. 142-147
  
• Chun-Fei Hsu, Tsu-Tian Lee, Ping-Zong Lin:
  Intelligent Tracking Controller Design Using Dynamic Fuzzy Neural Networks. 148-153
  
• Feng Zhang:
  Learning Long-Term Time Series with Generative Topographic Mapping. 154-159
  
• Julio J. Valdés, Enrique Romero, Ruben Gonzalez:
  Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting. 160-165
  
• Shuichi Kurogi, Ryohei Koyama, Shinya Tanaka, Toshihisa Sanuki:
  Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets. 166-171
  
• Ralf Eickhoff, Joaquin Sitte:
  Significance measure of Local Cluster Neural Networks. 172-177
  
• Yuuji Ichisugi:
  A Cerebral Cortex Model that Self-Organizes Conditional Probability Tables and Executes Belief Propagation. 178-183
  
• Han-Bing Qu, Bao-Gang Hu:
  Variational Bayes Inference for Generalized Associative Functional Networks. 184-189
  
• Giovanni Raimondo, Alfonso Montuori, Walter Moniaci, Eros Pasero, Esben Almkvist:
  Data-driven models to forecast PM10 concentration. 190-194
  
• Pedro Delicado, Marcelo Smrekar:
  Mixture of nonlinear models: a Bayesian fit for Principal Curves. 195-200
  
• Chi Kin Chow, Shiu Yin Yuen:
  Lighting Direction Estimation of a Shaded Image by a Surface-input Regression Network. 201-206
  
• Chi Kin Chow, Shiu Yin Yuen:
  Bayesian Signal Classifier. 207-212
  
• Chi Kin Chow, Shiu Yin Yuen:
  Signal Self Organizing Map. 213-218
  
• Ruichu Cai, Zhifeng Hao, Wen Wen:
  A Novel Gene Ranking Algorithm Based on Random Subspace Method. 219-223
  
• Francisco de A. T. de Carvalho, Julio T. Pimentel, Lucas X. T. Bezerra:
  Clustering of symbolic interval data based on a single adaptive L1 distance. 224-229
  
• Mario I. Chacon, Waldo J. Perez:
  A Combined Fuzzy Clustering -Neuron Approach in the Segmentation of Non-uniform Color Surfaces. 230-235
  
• Al Cripps, Nghiep Nguyen:
  Fuzzy Lattice Neurocomputing Using Weighted Cosine Similarity Measure. 236-241
  
• Tianping Chen, Yanchun Bai:
  Stability of Cohen-Grossberg Neural Networks with Nonnegative Periodic solutions. 242-247
  
• Sharon M. Chou, Andrew P. Paplinski, Lennart Gustafsson:
  Speaker-dependent Bimodal Integration of Chinese Phonemes and Letters Using Multimodal Self-organizing Networks. 248-253
  
• Zhongyu Pang, Derong Liu, Ning Jin, Zhuo Wang:
  Neural Network Strategy for Sampling of Particle Filters on the Tracking Problem. 254-259
  
• Jagdish Chandra Patra, Goh P. Lim, Pramod Kumar Meher, Ee-Luang Ang:
  DNA Microarray Data Analysis: Effective Feature Selection for Accurate Cancer Classification. 260-265
  
• Florian Hoppe, Gerald Sommer:
  Online Learning for Hierarchical Networks of Locally Arranged Models using a Support Vector Domain Model. 266-271
  
• Hasan U. Ozer, Ramakrishnan Sundaram:
  Object Recognition with Generic Self Organizing Feature Extractors and Fast Gabor Wavelet Transform. 272-277
  
• Amjad Zaim, Taeil Yi, Rick Keck:
  Feature-Based Classification of Prostate Ultrasound Images using Multiwavelet and Kernel Support Vector Machines. 278-281
  
• Derrick Takeshi Mirikitani, Nikolay Nikolaev:
  Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks. 282-287
  
• Michal Kruk, Stanislaw Osowski, Robert Koktysz:
  Recognition of Colon Cells Using Ensemble of Classifiers. 288-293
  
• Kurt Stadlthanner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Petia Georgieva, Carlos García Puntonet:
  Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis. 294-299
  
• Chao Shao, Houkuan Huang, Chunhong Wan:
  Selection of the Suitable Neighborhood Size for the ISOMAP Algorithm. 300-305
  
• Jorge V. Geaga:
  Tagging and Tracking in Video Using Neural Net Color Detection and Spatial Filters. 306-310
  
• Jérica Urías, Denisse Hidalgo, Patricia Melin, Oscar Castillo:
  A New Method for Response Integration in Modular Neural Networks using Type-2 Fuzzy Logic for Biometric Systems. 311-315
  
• Pei-Gee Peter Ho, Chi Hau Chen:
  2-D Time Series Model Based Support Vector Machine for Remote Sensing Image Segmentation. 316-320
  
• Daniel T. H. Lai, Ahsan Khandoker, Rezaul K. Begg, Marimuthu Palaniswami:
  A hybrid Support Vector Machine and autoregressive model for detecting gait disorders in the elderly. 321-326
  
• Ikuko Nishikawa, Kohei Hayashi, Kazutoshi Sakakibara:
  Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion. 327-332
  
• Wei Fu, Xiaodong Gu, Yuanyuan Wang:
  Anti-aircraft Missile Deployment Optimization Using Hopfield Neural Network. 333-337
  
• Steffen Grünewälder, Sepp Hochreiter, Klaus Obermayer:
  Optimality of LSTD and its Relation to MC. 338-343
  
• Xiaofeng Lin, Zhigang Zhang, Derong Liu:
  Temperature Control in Precalcinator with Dual Heuristic Dynamic Programming. 344-349
  
• Guoguang He, Manish Dev Shrimali, Kazuyuki Aihara:
  Chaos control in a neural network with threshold activated coupling. 350-354
  
• Shihai Wang, Ke Chen:
  Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification. 355-360
  
• Xiefeng Cheng, Yan Zheng, Yewei Tao, Zhengyu Chen, Yuehui Chen:
  Independent Sub-Band Functions: Model and Applications. 361-365
  
• José García Rodríguez, Francisco Flórez Revuelta, Juan Manuel García Chamizo:
  Image Compression Using Growing Neural Gas. 366-370
  
• Asma Al-Tamimi, Draguna Vrabie, Murad Abu-Khalaf, Frank L. Lewis:
  Model-free Approximate Dynamic Programming Schemes for Linear Systems. 371-378
  
• Assem Kaylani, Ahmad Al-Daraiseh, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Annie S. Wu:
  Genetic Optimization of ART Neural Network Architectures. 379-384
  
• Mark H. Myers, Igor Beliaev, King-Ip Lin:
  Machine Learning Techniques in Detecting of Pulmonary Embolisms. 385-390
  
• Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski:
  Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics. 391-395
  
• Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
  Near Optimal Output-Feedback Control of Nonlinear Discrete-time Systems in Nonstrict Feedback Form with Application to Engines. 396-401
  
• Zhong-Hua Quan, De-Shuang Huang, Kun-hong Liu, Kwok-Wing Chau:
  A Hybrid HMM/ANN Based Approach for Online Signature Verification. 402-405
  
• Yi Lu Murphey, Haoxing Wang, Guobin Ou, Lee A. Feldkamp:
  OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data. 406-411
  
• Vishwas R. Puttige, Sreenatha G. Anavatti:
  Comparison of Real-time Online and Offline Neural Network Models for a UAV. 412-417
  
• Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King:
  Maximum Margin based Semi-supervised Spectral Kernel Learning. 418-423
  
• Nadir Nizar Ali Charniya, Sanjay Dudul:
  Neural Network based Sensor for Classification of Material Type and its Surface Properties. 424-429
  
• Geoffrey R. Guile, Wenjia Wang:
  Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis. 430-435
  
• Ignacio Barrio, Enrique Romero, Lluís Belanche:
  Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression. 436-441
  
• Ross W. Deming, John Schindler, Leonid I. Perlovsky:
  Neural Modeling Fields for Multitarget/Multisensor Tracking. 442-447
  
• Marjory C. C. Abreu, Anne M. P. Canuto:
  Evaluating the Influence of the Choice of the Ensemble Members in Some Fuzzy Combination Methods. 448-453
  
• Silvia Riedel, Bogdan Gabrys:
  Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning. 454-459
  
• Leonid I. Perlovsky:
  Neural Modeling Fields, Evolution of Consciousness and Cultures. 460-465
  
• Leonid I. Perlovsky:
  Neural Modeling Fields for Natural Language. 466-470
  
• Yu-Chiang Frank Wang, David Casasent:
  New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification. 471-476
  
• Kai-Ju Chen, Kou-Yuan Huang:
  Simulated Annealing for Pattern Detection and Seismic Application. 477-482
  
• Narayan Srinivasa, Stephen Grossberg:
  A Self-Organizing Neural Model for Fault-Tolerant Control of Redundant Robots. 483-488
  
• Georgina Stegmayer:
  Neural Networks and Volterra series for modeling new wireless communication devices. 489-494
  
• Lichen Liang, Vladimir Cherkassky:
  Learning Using Structured Data: Application to fMRI Data Analysis. 495-499
  
• Ning Jin, Derong Liu, Zhongyu Pang, Ting Huang:
  Wavelet Basis Function Neural Networks. 500-505
  
• Salvatore Marra, Maria Antonia Iachino, Francesco Carlo Morabito:
  High Speed, Programmable Implementation of a Tanh-like Activation Function and Its Derivative for Digital Neural Networks. 506-511
  
• Nicolas Brodu:
  Quantifying the Effect of Learning on Recurrent Spikin Neurons. 512-517
  
• Ting Yu, Tony Jan, Simeon J. Simoff, John K. Debenham:
  A Hierarchical VQSVM for Imbalanced Data Sets. 518-523
  
• Feng Zhou, Bao-Liang Lu:
  Learning Concepts from Large-Scale Data Sets by Pairwise Coupling with Probabilistic Outputs. 524-529
  
• Jiann-Ming Wu, Yi-Cyun Yang:
  Nonlinear independent component analysis by learning generalized adalines. 530-535
  
• Julian Szymanski, Wlodzislaw Duch:
  Semantic Memory Knowledge Acquisition Through Active Dialogues. 536-541
  
• Kazuo Nishimura:
  A New Semantic Network Program Based on Combination of Case Knowledge and General Knowledge. 542-545
  
• Yasuo Matsuyama, Fuminori Ohashi, Fumiaki Horiike, Tomohiro Nakamura, Shun'ichi Honma, Naoto Katsumata, Yuuki Hoshino:
  Image-to-Image Retrieval Using Computationally Learned Bases and Color Information. 546-551
  
• Raymond Chun Kiat Ho, Alex Leng Phuan Tay, Xuejie Zhang:
  Progressive Learning Paradigms using the Parallel K-Iterations Fast Learning Artificial Neural Network. 552-557
  
• Behrooz Makki, Seyed Ali Seyed Salehi, Mona Noori Hosseini, Nasser Sadati:
  Principal Component Analysis using Constructive Neural Networks. 558-562
  
• Xuejie Zhang, Alex Leng Phuan Tay:
  Fast Learning Artificial Neural Network (FLANN) Based Color Image Segmentation in R-G-B-S-V Cluster Space. 563-568
  
• Rong-Jong Wai, Jeng-Dao Lee:
  Dynamic Control of Maglev Transportation System Via Adaptive Fuzzy-Neural-Network. 569-574
  
• Masashi Sekino, Katsumi Nitta:
  Unbiased Learning for Hierarchical Models. 575-580
  
• Qingyong Li, Zhiping Shi, Siwei Luo:
  A Neural Network Approach for Bridging the Semantic Gap in Texture Image Retrieval. 581-585
  
• Franck Dufrenois, Johan Colliez, Denis Hamad:
  Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences. 586-591
  
• Hyun-Chul Kim, Kyu-Hwan Jung, Jaewook Lee:
  Approximate Sampling Method for Locally Linear Embedding. 592-595
  
• Long Cheng, Zeng-Guang Hou, Min Tan, Xiuqing Wang, Zeng-Shun Zhao, Sanqing Hu:
  A Recurrent Neural Network for Non-smooth Nonlinear Programming Problems. 596-601
  
• Manabu Gouko, Koji Ito:
  An Action Generation Model Using Time Series Prediction. 602-607
  
• Javid J. Huseynov, Shankar B. Baliga, Alan Widmer, Zvi Boger:
  Infrared Flame Detection System Using Multiple Neural Networks. 608-612
  
• Jose Ignacio Serrano, Ángel Iglesias, M. Dolores del Castillo:
  Modeling Human Reading in Conceptual Networks for Text Representation and Comparison. 613-618
  
• Akihito Sudo, Akihiro Sato, Osamu Hasegawa:
  Associative Memory for Online Incremental Learning in Noisy Environments. 619-624
  
• Hina Ghalib, Christian R. Huyck:
  A Cell Assembly Model of Sequential Memory. 625-630
  
• Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani:
  BeSOM : Bernoulli on Self-Organizing Map. 631-636
  
• Koen Smets, Brigitte Verdonk, Elsa Jordaan:
  Evaluation of Performance Measures for SVR Hyperparameter Selection. 637-642
  
• Laura Emmanuella A. Santana, Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
  A Comparative Analysis of Feature Selection Methods for Ensembles with Different Combination Methods. 643-648
  
• Luis E. Zárate, Sergio M. Dias, Mark A. J. Song:
  FCANN Method Applications for Knowledge Extraction From Previously Trained ANN. 649-654
  
• Luis E. Zárate, Fabricio R. Bittencout:
  Neural Networks Applied to Adjustment and Combination of the Control Actions for the Cold Rolling Process. 655-660
  
• Ulf Johansson, Tuve Löfström, Lars Niklasson:
  The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation. 661-666
  
• Li Shi, Hui Li, Zhifu Sun, Wei Liu:
  Research on Diagnosing Heart Disease Using Adaptive Network-based Fuzzy Interferences System. 667-671
  
• Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
  Mixing Aveboost and Conserboost to Improve Boosting Methods. 672-677
  
• Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
  PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge. 678-683
  
• Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
  Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm. 684-689
  
• Haikun Wei, Shun-ichi Amari:
  Eigenvalue Analysis on Singularity in RBF networks. 690-695
  
• Yuehui Chen, Feng Chen, Qiang Wu:
  An Artificial Neural Networks Based Dynamic Decision Model for Time-Series Forecasting. 696-699
  
• Yutaka Maeda, Yoshinori Fukuda:
  FPGA Implementation of Pulse Density Hopfield Neural Network. 700-704
  
• Xiaobin Lin, Philippe De Wilde:
  Odor Recognition with Synchronization using Integrate and Fire Neurons. 705-710
  
• Wen Liu, Lipo Wang:
  Variable Thresholds in the Chaotic Cellular Neural Network. 711-714
  
• Thomas Dowrick, Steve Hall, Liam McDaid, Octavian Buiu, Peter M. Kelly:
  A Biologically Plausible Neuron Circuit. 715-719
  
• Fredric M. Ham, Ranjan Acharyya, Young-Chan Lee, Milton Garces, David Fee, Chelsea Whitten, Eric Rivera:
  Classification of Infrasound Surf Events Using Parallel Neural Network Banks. 720-725
  
• Jun Won Lee, Christophe G. Giraud-Carrier:
  Transfer Learning in Decision Trees. 726-731
  
• A. G. Malliaris, Mary Malliaris:
  Modeling Short Term Interest Rates: A Comparison of Methodologies. 732-736
  
• Suzana M. de Souza, Alexandre Alves da Silva, Antonio C. S. Lima:
  Voltage and Current Patterns for Fault Location in Transmission Lines. 737-742
  
• José Castro, Michael Georgiopoulos, Jimmy Secretan:
  Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory. 743-748
  
• Ling Li, Hsuan-Tien Lin:
  Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent. 749-754
  
• Filip Pigkniewski:
  Emergence of Scale-free Graphs in Dynamical Spiking Neural Networks. 755-759
  
• Edward L. Boone, Karl Ricanek, Susan J. Simmons:
  Quantitative Trait Loci Analysis Using a Bayesian Framework. 760-764
  
• Raihan H. Kibria:
  Evolving a Neural Net-Based Decision and Search Heuristic for DPLL SAT Solvers. 765-770
  
• Iris Fabiana de Barcelos Tronto, José Demisio Simões da Silva, Nilson Sant Anna:
  Comparison of Artificial Neural Network and Regression Models in Software Effort Estimation. 771-776
  
• Gregory P. Amis, Gail A. Carpenter:
  Default ARTMAP 2. 777-782
  
• Abel Nyamapfene, Khurshid Ahmad:
  A Multimodal Model of Child Language Acquisition at the One-Word Stage. 783-788
  
• Mario I. Chacon, Juan I. Nevarez, Jose Rivera:
  Recognition of Natural and Non-Natural Defects Presented in Ophthalmic Lenses. 789-794
  
• Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell:
  Hippocampus Neurons and Place Cells/Place Field Representation to Provide Path Navigation. 795-800
  
• Eufrasio de A. Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto:
  Inequality Constraints in Regression Models to Symbolic Interval Variables. 801-806
  
• Frederick W. Chen, William J. Blackwell:
  Atmospheric Thermodynamic Profiling with Neural Networks. 807-812
  
• Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell:
  Autonomous Navigational Controller Inspired by the Hippocampus. 813-818
  
• Hugo Hidalgo, Enrique Gómez-Treviño:
  Geoelectric modeling with Kernel methods. 819-822
  
• Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moreno-Armendariz:
  Nonlinear systems identification via two types of recurrent fuzzy CMAC. 823-828
  
• Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley:
  Agnostic Learning vs. Prior Knowledge Challenge. 829-834
  
• Michael E. Farmer:
  Chaotic Phenomena from Motion in Image Sequences. 835-840
  
• Bing Lu, Walter M. Yamada, Theodore W. Berger:
  Asymmetric Synaptic Plasticity Based on Arbitrary Pre- and Postsynaptic Timing Spikes Using Finite State Model. 841-846
  
• Maryam Arvandi, Alireza Sadeghian:
  Chosen Plaintext Attack against Neural Network-Based Symmetric Cipher. 847-851
  
• Ryan J. Meuth, Donald C. Wunsch II:
  Approximate Dynamic Programming and Neural Networks on Game Hardware. 852-856
  
• Takashi Onoda, Norihiko Ito, Hironobu Yamasaki:
  One-Class SVM based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants. 857-862
  
• Jon T. S. Quah, M. Sriganesh:
  Real Time Credit Card Fraud Detection using Computational Intelligence. 863-868
  
• Hyunsoo Choi, Chulhee Lee:
  Neural Network Deinterlacing Using Multiple Fields and Field-MSEs. 869-872
  
• Peipeng Liang, Ning Zhong, Jing-Long Wu, Shengfu Lu, Jiming Liu, Yiyu Yao:
  Time Dissociative Characteristics of Numerical Inductive Reasoning: Behavioral and ERP Evidence. 873-879
  
• Masahiro Wakame, Yuko Osana:
  Chaotic Neural Network with Time Delay Term. 880-885
  
• Christopher Sentelle, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Cynthia Young:
  On Extending the SMO Algorithm Sub-Problem. 886-891
  
• Luis Eduardo Moran Lopez, R. Paul Elias, Jonathan Villanueva Tavira:
  Face Localization In Color Images Using Dynamic Time Warping And Integral Projections. 892-896
  
• Gessyca Maria Tovar, Eric Shun Fukuda, Tetsuya Asai, Tetsuya Hirose, Yoshihito Amemiya:
  Neuromorphic CMOS Circuits implementing a Novel Neural Segmentation Model based on Symmetric STDP Learning. 897-901
  
• Kaname Iwasa, Mauricio Kugler, Susumu Kuroyanagi, Akira Iwata:
  A Sound Localization and Recognition System using Pulsed Neural Networks on FPGA. 902-907
  
• Chao Lu, Jennie Si, Xiaorong Xie, Jie Song:
  Convergence of Direct Heuristic Dynamic Programming in Power System Stability Control. 908-913
  
• Sang-Il Choi, Chong-Ho Choi:
  An Effective Face Recognition under Illumination and Pose Variations. 914-919
  
• Alistair Shilton, Daniel T. H. Lai:
  Quaternionic and complex-valued Support Vector Regression for Equalization and Function Approximation. 920-925
  
• Rohit Dua:
  Damped Vibration Analysis of Extrinsic Fabry-Perot Interferometric Sensors using Artificial Neural Networks. 926-931
  
• Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Kotaro Yoshida, Koki Matsumura, Mariko Hatakeyama:
  Inference of Genetic Networks using a Reduced NGnet Model. 932-937
  
• Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang:
  Prediction of Long-range Contacts from Sequence Profile. 938-943
  
• Colin Molter, Yoko Yamaguchi:
  Organization of hippocampal place cells by enthorinal cortex grid cells. A functional role for the phase precession mechanism. 944-949
  
• Kazuki Nakada, Keiji Miura, Hatsuo Hayashi:
  Theoretical Analysis of Synchronization Phenomena in Two Pulse-Coupled Resonate-and-Fire Neurons. 950-955
  
• Jon T. S. Quah, W. D. Ng:
  Utilizing Computational Intelligence for DJIA Stock Selection. 956-961
  
• Yuancan Huang, Chuang Yu:
  Improved Lagrange Nonlinear Programming Neural Networks for Inequality Constraints. 962-966
  
• Le Song, Yuchi Lin:
  Study on the Vision Reading Algorithm based on Template Matching and Neural Network. 967-972
  
• Bryan W. Lin, Ou Ma:
  Modeling and Analysis of Human Binocular Perception of Position and Velocity in the Visual Cortex. 973-978
  
• Seung-Mook Baek, Jung-Wook Park, Ganesh K. Venayagamoorthy:
  Parameter Optimization of PSS Based on Estimated Hessian Matrix from Trajectory Sensitivities. 979-984
  
• Richard L. Welch, Ganesh K. Venayagamoorthy:
  Optimal Control of a Photovoltaic Solar Energy System with Adaptive Critics. 985-990
  
• Guo-Zhu Wen, Xiao-Yong Guo, De-Shuang Huang, Kun-hong Liu:
  Application of Self-Organizing Map in Aerosol Single Particles Data Clustering. 991-996
  
• Etsumasa Hiura, Toshijiro Tanaka:
  A Chaotic Neural Network with Duffing's Equation. 997-1001
  
• Mohammad Atique, Sadique S. Ali:
  A Novel Adaptive Neuro Fuzzy Inference System Based CPU Scheduler for Multimedia Operating System. 1002-1007
  
• Cesare Alippi, Manuel Roveri:
  Adaptive Classifiers in Stationary Conditions. 1008-1013
  
• Cesare Alippi, Manuel Roveri:
  Just-in-time Adaptive Classifiers in Non-Stationary Conditions. 1014-1019
  
• Sudhir Rao, Seungju Han, José Carlos Príncipe:
  Information Theoretic Vector Quantization with Fixed Point Updates. 1020-1024
  
• Hujun Yin:
  Connection between Self-Organizing Maps and Metric Multidimensional Scaling. 1025-1030
  
• Jaakko J. Väyrynen, Lasse Lindqvist, Timo Honkela:
  Sparse Distributed Representations for Words with Thresholded Independent Component Analysis. 1031-1036
  
• Kenji Tanaka, Takio Kurita, Tohru Kawabe:
  Selection of Import Vectors via Binary Particle Swarm Optimization and Cross-Validation for Kernel Logistic Regression. 1037-1042
  
• Terje Kristensen, Jostein Borthen, Kristian Fyllingsnes:
  Comparison of neural network based fingerprint classification techniques. 1043-1048
  
• Hiroomi Hikawa, Shigeki Matsubara:
  Pseudo RBF Network for Position Independent Hand Posture Recognition System. 1049-1054
  
• Sohrab Saeb, Aydin Farajidavar, Shahriar Gharibzadeh:
  A Model of Wind-up based on Short-term and Long-term Synaptic Plasticity Mechanisms. 1055-1060
  
• Youki Kamiya, Toshiaki Ishii, Shen Furao, Osamu Hasegawa:
  An Online Semi-Supervised Clustering Algorithm Based on a Self-organizing Incremental Neural Network. 1061-1066
  
• Jia Tang, Xiaoqin Zeng, Lei Lu:
  Ensemble Learning Based on the Output Sensitivity of Multilayer Perceptrons. 1067-1072
  
• Yang Liu, Soon-Thiam Khu:
  Automatic Calibration of Numerical Models using Fast Optimisation by Fitness Approximation. 1073-1078
  
• Masayuki Murakami, Nakaji Honda:
  Fault Tolerance Comparison of IDS Models with Multilayer Perceptron and Radial Basis Function Networks. 1079-1084
  
• Hiroyuki Mori, Daisuke Kanaoka:
  Application of Support Vector Regression to Temperature Forecasting for Short-term Load Forecasting. 1085-1090
  
• Hiroomi Hikawa, Taku Miyanishi, Kousuke Tamaya:
  Performance Comparison of SOM Based Hybrid Hardware Classifiers. 1091-1096
  
• Benjamin Schrauwen, Michiel D'Haene, David Verstraeten, Jan M. Van Campenhout:
  Compact hardware for real-time speech recognition using a Liquid State Machine. 1097-1102
  
• Shiro Usui, Antoine Naud, Naonori Ueda, Tatsuki Taniguchi:
  3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization. 1103-1108
  
• Matti Pöllä, Timo Honkela:
  Probabilistic Text Change Detection Using an Immune Model. 1109-1114
  
• Yuta Ishikawa, Ryohei Nakano:
  Obtaining EM Initial Points by Using the Primitive Initial Point and Subsampling Strategy. 1115-1120
  
• Mohammad Mahdi Rezaei Yousefi, Masoud Mirmomeni, Caro Lucas:
  Input Variables Selection Using Mutual Information for Neuro Fuzzy Modeling with the Application to Time Series Forecasting. 1121-1126
  
• Pohsiang Tsai, Tony Jan, Tom Hintz:
  Kernel-based Subspace Analysis for Face Recognition. 1127-1132
  
• Peyman Adibi, Reza Safabakhsh:
  Joint Entropy Maximization in the Kernel-Based Linear Manifold Topographic Map. 1133-1138
  
• Shen Furao, Keisuke Sakurai, Youki Kamiya, Osamu Hasegawa:
  An Online Semi-supervised Active Learning Algorithm with Self-organiing Incremental Neural Network. 1139-1144
  
• Shen Furao, Osamu Hasegawa:
  A Nearest-Neighbour Method with Self-organizing Incremental Neural Network. 1145-1150
  
• Johane Takeuchi, Osamu Shouno, Hiroshi Tsujino:
  Modular Neural Networks for Reinforcement Learning with Temporal Intrinsic Rewards. 1151-1156
  
• Pavel V. Skribtsov, Pavel A. Kazantsev, Svetlana V. Korobkova, Dmitry V. Pantiukhin, Ilia M. Voronkov, Alexander I. Galushkin, Georgiy P. Ostapenko, Artem M. Lodyagin:
  "Neuromathematics" - Open platform to accelerate complex applied math problems solutions using neural network algorithms. 1157-1161
  
• Dhanaraj Nelson Jeyakumar, Paramasivam Venkatesh, Kwang Y. Lee:
  Application of Multi Objective Evolutionary Programming to Combined Economic Emission Dispatch Problem. 1162-1167
  
• Nimish Shah, Simon O'Keefe, Jim Austin:
  The Improved Correlation Matrix Memory (CMML). 1168-1173
  
• Lin Yu Tseng, Wen-Ching Chen:
  The Systematic Trajectory Search Algorithm for Feedforward Neural Network Training. 1174-1179
  
• José F. Fontanari, Leonid I. Perlovsky:
  Language acquisition and category discrimination in the Modeling Field Theory framework. 1180-1185
  
• Masayuki Karasuyama, Ryohei Nakano:
  Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR. 1186-1191
  
• Walter J. Freeman:
  Cortical aperiodic shutter enabling phase transitions at theta rates. 1192-1197
  
• Libo Ma, Liqing Zhang:
  A Hierarchical Generative Model for Overcomplete Topographic Representations in Natural Images. 1198-1203
  
• Dymitr Ruta, Bogdan Gabrys:
  Neural Network Ensembles for Time Series Prediction. 1204-1209
  
• Hirokazu Madokoro, Kazuhito Sato, Masaki Ishii:
  Orientation Selectivity for Representation of Facial Expression Changes. 1210-1215
  
• Kazuhito Sato, Sakura Kadowaki, Hirokazu Madokoro, Masaki Ishii, Atsushi Inugami:
  Objective Segmentation Based on Characteristics of Single Channel MR Images. 1216-1221
  
• Wei Wu, Dong Nan, Zhengxue Li, Jinling Long:
  Approximation to a Compact Set of Functions by Feedforward Neural Networks. 1222-1225
  
• Otto Lappi:
  Computational Templates, Neural Network Dynamics, and Symbolic Logic. 1226-1230
  
• Tarja Knuuttila, Anna-Mari Rusanen, Timo Honkela:
  Self-Organizing Maps as Traveling Computational Templates. 1231-1236
  
• Wenyan Wu, Liming Zhang:
  A New Method of Solving Permutation Problem in Blind Source Separation for Convolutive Acoustic Signals in Frequency-domain. 1237-1242
  
• Francisco Chagas de Lima, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
  Using Q-learning Algorithm for Initialization of the GRASP Metaheuristic and Genetic Algorithm. 1243-1248
  
• Sheetal Reddy Pamudurthy, S. Chandrakala, C. Chandra Sekhar:
  Local Density Estimation based Clustering. 1249-1254
  
• Michail Maniadakis, Manolis Hourdakis, Panos E. Trahanias:
  Modeling Overlapping Execution/Observation Brain Pathways. 1255-1260
  
• Mostafa M. Hassan, Amir F. Atiya, Neamat El Gayar, Raafat El-Fouly:
  Regression in the Presence Missing Data Using Ensemble Methods. 1261-1265
  
• Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
  Investigating the Use of an Evolutionary Agent-based System for Classification Tasks. 1266-1271
  
• Haibo He, Xiaoping Shen:
  Bootstrap Methods for Foreign Currency Exchange Rates Prediction. 1272-1277
  
• Randy P. Broussard, Lauren R. Kennell, David L. Soldan, Robert W. Ives:
  Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation. 1283-1288
  
• Franck Dufrenois, Denis Hamad:
  Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences. 1289-1294
  
• Chenlei Guo, Liming Zhang:
  An Attention Selection Model with Visual Memory and Online Learning. 1295-1301
  
• Eiji Mizutani, Stuart Dreyfus:
  On practical use of stagewise second-order backpropagation for multi-stage neural-network learning. 1302-1307
  
• Hiroshi Fukuda, Naoya Kakutani, Naohiro Fukumura, Yoji Uno:
  A Neural Network Model for Planning Force and Posture in Three-digit Object Holding. 1308-1313
  
• Davide Bacciu, Antonina Starita:
  A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number. 1314-1319
  
• Zhirong Yang, Jorma Laaksonen:
  Approximated Geodesic Updates with Principal Natural Gradients. 1320-1325
  
• Bryan D. Thompson, Mahmood R. Azimi-Sadjadi:
  An Iterative Learning Algorithm for Multi-Channel Coherence Analysis. 1326-1331
  
• Jayawan H. B. Wijekoon, Piotr Dudek:
  Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit. 1332-1337
  
• Seema Narain, Ashu Jain:
  Artificial neuron models for hydrological modeling. 1338-1342
  
• Georgia D. Tourassi, Jonathan L. Jesneck, Maciej A. Mazurowski, Piotr A. Habas:
  Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes. 1343-1347
  
• Dominic I. Standage, Thomas P. Trappenberg:
  The Trouble with Weight-Dependent STDP. 1348-1353
  
• Pei Ling Lai, Colin Fyfe:
  Reinforcement Learning for Topographic Mappings. 1354-1359
  
• Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella:
  A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. 1360-1364
  
• Ghada Abdelmouez, Sherif Hashem, Amir F. Atiya, Mohamed A. El-Gamal:
  Neural Network vs. Linear Models for Stock Market Sectors Forecasting. 1365-1369
  
• Julio Viola, Jose Restrepo, Mary Diaz, Jose M. Aller, Ronald G. Harley, T. G. Habetler:
  Simplified Control Structure for Current Control of Single Phase Rectifiers Using COT-ANN-PWM. 1370-1374
  
• Dragan Djurdjanovic, Jianbo Liu, Kenneth A. Marko, Jun Ni:
  Immune Systems Inspired Approach to Anomaly Detection and Fault Diagnosis for Engines. 1375-1382
  
• Ulf Johansson, Rikard König, Lars Niklasson:
  Inconsistency - Friend or Foe. 1383-1388
  
• Pedro Flores, Carlos Anaya, Hector M. Ramirez, Luis B. Morales:
  Automated Linear Modeling of Time Series with Self Adaptive Genetic Algorithms. 1389-1396
  
• Umut Ozertem, Andras Gruber, Deniz Erdogmus:
  Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient vector flow and kernel annealing. 1397-1400
  
• Randal A. Koene, Michael E. Hasselmo:
  A reversing buffer mechanism that enables instances of retrospective activity in hippocampal regions CA3 and CA1. 1401-1406
  
• Umut Ozertem, Deniz Erdogmus:
  A Nonparametric Approach for Active Contours. 1407-1410
  
• Sang-Woo Ban, Minho Lee:
  Autonomous Incremental Visual Environment Perception Based on Visual Selective Attention. 1411-1416
  
• Péter András, Samantha Lycett:
  An advantage of chaotic neural dynamics. 1417-1422
  
• Rossella Blatt, Andrea Bonarini, Elisa Calabró, Matteo Della Torre, Matteo Matteucci, Ugo Pastorino:
  Lung Cancer Identification by an Electronic Nose based on an Array of MOS Sensors. 1423-1428
  
• Haruhiko Takase, Masahiko Masahiko, Hidehiko Kita, Terumine Hayashi:
  Enhancing both generalization and fault tolerance of multilayer neural networks. 1429-1433
  
• Alejandro Chinea Manrique De Lara, Michel Parent:
  Risk Assessment Algorithms Based on Recursive Neural Networks. 1434-1440
  
• Antonio Oliveri, Riccardo Rizzo, Antonio Chella:
  An Application of Spike-Timing-Dependent Plasticity to Readout Circuit for Liquid State Machine. 1441-1445
  
• Henrik Jacobsson, Stefan L. Frank, Diego Federici:
  Automated Abstraction of Dynamic Neural Systems for Natural Language Processing. 1446-1451
  
• Valentina Lanza, Fernando Corinto, Marco Gilli:
  Limit Cycles and Bifurcations in Cellular Nonlinear Networks. 1452-1457
  
• Colin Molter, Utku Salihoglu, Hugues Bersini:
  How Stochastic Noise Helps Memory Retrieval in a Chaotic Brain. 1458-1463
  
• Marcelino Lázaro, José M. Leiva-Murillo, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
  A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class. 1464-1469
  
• Andrea Loettgers:
  The Hopfield model and its role in the development of synthetic biology. 1470-1475
  
• Azzam ul Asar, S. Riaz ul Hassnain, Affan Khan:
  Short Term Load Forecasting Using Particle Swarm Optimization Based ANN Approach. 1476-1481
  
• Claudio A. Policastro, Roseli A. F. Romero, Giovana Zuliani:
  Robotic Architecture Inspired on Behavior Analysis. 1482-1487
  
• Rafael V. Borges, Luís C. Lamb, Artur S. d'Avila Garcez:
  Reasoning and Learning About Past Temporal Knowledge in Connectionist Models. 1488-1493
  
• Vikramjit Mitra, Chia-Jiu Wang:
  A Neural Network based Audio Content Classification. 1494-1499
  
• Kaspar Riesen, Horst Bunke:
  Structural Classifier Ensembles for Vector Space Embedded Graphs. 1500-1505
  
• Charles Bouveyron, Hugh A. Chipman:
  Visualization and classification of graph-structured data: the case of the Enron dataset. 1506-1511
  
• R. Anitha, C. Chandra Sekhar:
  Acoustic Modeling using Vector Quantization in Kernel Feature Space and Classification using String Kernel based Support Vector Machines. 1512-1517
  
• Li-Chen Shi, Hong Yu, Bao-Liang Lu:
  Semi-Supervised Clustering for Vigilance Analysis Based on EEG. 1518-1523
  
• Giuseppina Inuso, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito:
  Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings. 1524-1529
  
• Petia Georgieva, Cristina Oliveira, Fernando Rocha, Sebastião Feyo de Azevedo:
  Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients. 1530-1535
  
• Julio J. Valdés, Antonio Pou:
  Greenland Temperatures and Solar Activity: A Computational Intelligence Approach. 1536-1541
  
• Yanhua Chen, Ming Dong, Manjeet Rege:
  Gene Expression Clustering: a Novel Graph Partitioning Approach. 1542-1547
  
• Raul Llinares, Jorge Igual:
  Identification of compounds in ice analogs with NMF algorithms. 1548-1553
  
• Jimmy Secretan, Michael Georgiopoulos, José Castro:
  A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases. 1554-1559
  
• David R. W. Barr, Piotr Dudek, Jonathan M. Chambers, Kevin N. Gurney:
  Implementation of multi-layer leaky integrator networks on a cellular processor array. 1560-1565
  
• Marcos G. Quiles, Liang Zhao, Roseli A. Francelin Romero:
  A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network. 1566-1571
  
• Zöhre Kara Kayikci, Heiner Markert, Günther Palm:
  Neural Associative Memories and Hidden Markov Models for Speech Recognition. 1572-1577
  
• Sorin Babii, Vladimir Cretu, Emil M. Petriu:
  Performance Evaluation of Two Distributed BackPropagation Implementations. 1578-1583
  
• Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz:
  Parallel Learning of Large Fuzzy Cognitive Maps. 1584-1589
  
• Yu Fu, Antony Browne:
  Using Ensembles of Neural Networks to Improve Automatic Relevance Determination. 1590-1594
  
• Petrônio L. Braga, Adriano L. I. Oliveira, Gustavo H. T. Ribeiro, Silvio R. L. Meira:
  Bagging Predictors for Estimation of Software Project Effort. 1595-1600
  
• Oleksandr Makeyev, Edward Sazonov, Stephanie A. C. Schuckers, Ed Melanson, Michael Neuman:
  Limited receptive area neural classifier for recognition of swallowing sounds using short-time Fourier transform. 1601-1606
  
• Ruben M. Rodriguez-Pena, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero:
  A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines. 1607-1612
  
• Angelo Ciaramella, Sergio Cocozza, Francesco Iorio, Gennaro Miele, Francesco Napolitano, M. Pinelli, Giancarlo Raiconi, Roberto Tagliaferri:
  Clustering, Assessment and Validation: an application to gene expression data. 1613-1618
  
• Antonio Chella, Haris Dindo, Francesco Matraxia, Roberto Pirrone:
  A Neuro-Genetic Approach to Real-Time Visual Grasp Synthesis. 1619-1626
  
• Erinija Pranckeviciene, Ray L. Somorjai, Muoi N. Tran:
  Feature/Model Selection by the Linear Programming SVM Combined with State-of-Art Classifiers: What Can We Learn About the Data. 1627-1632
  
• Derek Beaton, Iren Valova:
  RADDACL: A Recursive Algorithm for Clustering and Density Discovery on Non-linearly Separable Data. 1633-1638
  
• Oliver Herbort, Martin V. Butz:
  Encoding Complete Body Models Enables Task Dependent Optimal Behavior. 1639-1644
  
• Daniel Weiler, Volker Willert, Julian Eggert, Edgar Körner:
  A Probabilistic Method for Motion Pattern Segmentation. 1645-1650
  
• Anke Meyer-Bäse, Axel Saalbach:
  Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series. 1651-1656
  
• Alexandru Murgu:
  Lyapunov Design of Repetitive Learning Control in Network Management Processes. 1657-1662
  
• Paulo J. G. Lisboa, Elia Biganzoli, Azzam F. Taktak, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Federico Ambrogi:
  Assessing flexible models and rule extraction from censored survival data. 1663-1668
  
• Anke Meyer-Bäse, R. Roberts, Hyun Geun Yu:
  Global Asymptotic Stability Analysis of Both Matched and Unmatched Uncertain Neural Networks. 1669-1672
  
• Zhi-Fei Ye, Bao-Liang Lu:
  Learning Imbalanced Data Sets with a Min-Max Modular Support Vector Machine. 1673-1678
  
• Sylvain Chartier, Gyslain Giguère, Patrice Renaud, Jean-Marc Lina, Robert Proulx:
  FEBAM: A Feature-Extracting Bidirectional Associative Memory. 1679-1684
  
• Xiang Peng, Irwin King:
  Large Scale Imbalanced Classification with Biased Minimax Probability Machine. 1685-1690
  
• Anton Maximilian Schäfer, Daniel Schneegaß, Volkmar Sterzing, Steffen Udluft:
  A Neural Reinforcement Learning Approach to Gas Turbine Control. 1691-1696
  
• Daniel MacLean, Iren Valova:
  Parallel Growing SOM Monitored by Genetic Algorithm. 1697-1702
  
• Imen Cherif, Sabeur Abid, Farhat Fnaiech:
  A Genetic Approach for Linear-Quadratic Channel Identification With Usual Communication Inputs. 1703-1707
  
• Saurabh Sureka, Michael T. Manry:
  A Functional Link Network With Ordered Basis Functions. 1708-1713
  
• Pramod Lakshmi Narasimha, Michael T. Manry, Francisco Maldonado:
  Upper Bound on Pattern Storage in Feedforward Networks. 1714-1719
  
• Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. Talbot:
  Generalised Kernel Machines. 1720-1725
  
• Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Milde M. S. Lira, Aida A. Ferreira, Manoel A. Carvalho, Geane B. Silva, Josinaldo B. de Oliveira:
  Development of an Artificial Neural Network by Genetic Algorithm to Mid-Term Load Forecasting. 1726-1731
  
• Gavin C. Cawley, Nicola L. C. Talbot:
  Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. 1732-1737
  
• Chaoxin Zheng, Aideen Long, Yuri Volkov, Anthony Davies, Dermot Kelleher, Khurshid Ahmad:
  A Cross-Modal System for Cell Migration Image Annotation and Retrieval. 1738-1743
  
• Guillermo Jimenez-Estevez, Luis Vargas, Rodrigo Palma-Behnke:
  An Evolutionary Approach for the Greenfield Planning Problem in Distribution Networks. 1744-1749
  
• A. A. Abdurrab, Michael T. Manry, Jiang Li, Sanjeev S. Malalur, R. G. Gore:
  A Piecewise Linear Network Classifier. 1750-1755
  
• Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens:
  Multi-class kernel logistic regression: a fixed-size implementation. 1756-1761
  
• Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski:
  Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network Classifiers. 1762-1766
  
• Ryotaro Kamimura:
  Controlled Competitive Learning: Extending Competitive Learning to Supervised Learning. 1767-1773
  
• Liwen You, Thorsteinn S. Rögnvaldsson:
  Almost Linear Biobasis Function Neural Networks. 1774-1778
  
• Ryotaro Kamimura, Ryozo Kitajima:
  Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning. 1779-1784
  
• Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan:
  Cortical representation of information about visual attributes: one network or many? 1785-1789
  
• Masoud Mirmomeni, Caro Lucas, Behzad Moshiri:
  Long Term Prediction of Chaotic Time Series with the Aid of Neuro Fuzzy Models, Spectral Analysis and Correlation Analysis. 1790-1795
  
• Aida A. Ferreira, Francisco Nascimento Jr., Ing Ren Tsang, George D. C. Cavalcanti, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
  Analysis of mammogram using self-organizing neural networks based on spatial isomorphism. 1796-1801
  
• Karl P. Dockendorf, Thomas B. DeMarse:
  Amplitude and Spike Timing Dependent Plasticity. 1802-1806
  
• Jered Cartmill, Mahmood R. Azimi-Sadjadi, Neil Wachowski:
  Buried Underwater Object Classification Using a Collaborative Multi-Aspect Classifier. 1807-1812
  
• E. Canestrelli, P. Canestrelli, Marco Corazza, Maurizio Filippone, Silvio Giove, Francesco Masulli:
  Local Learning of Tide Level Time Series using a Fuzzy Approach. 1813-1818
  
• Tung-Yung Huang, Ching James Li, Ting-Wei Hsu:
  Structure and Parameter Learning Algorithm of Jordan Type Recurrent Neural Networks. 1819-1824
  
• Mathias M. Adankon, Mohamed Cheriet:
  Learning Semi-supervised SVM with Genetic Algorithm. 1825-1830
  
• António R. C. Paiva, Sudhir Rao, Il Park, Jose C. Principe:
  Spectral Clustering of Synchronous Spike Trains. 1831-1835
  
• Hisashi Aomori, Tsuyoshi Otake, Nobuaki Takahashi, Mamoru Tanaka:
  A Spatial Domain Sigma-Delta Modulation via Discrete-Time Cellular Neural Networks. 1836-1841
  
• Alireza A. Dibazar, Hyung O. Park, Theodore W. Berger:
  The Application of Dynamic Synapse Neural Networks on Footstep and Vehicle Recognition. 1842-1846
  
• Ernst M. Kussul, Tatiana Baidyk, Oleksandr Makeyev:
  Pairwise Permutation Coding Neural Classifier. 1847-1852
  
• Maryam Miradi:
  Extraction of rules from Artificial Neural Network for Dutch Porous Asphalt Concrete Pavement. 1853-1858
  
• Raphaela G. Fernandes, Diego R. Cabral Silva, Luiz A. H. de Oliveira, Adrião Duarte Dória Neto:
  Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System. 1859-1864
  
• Ashutosh Dwivedi, Naripeddy Subhash Chandra Bose, Prabhanjan Kandula, Prem Kumar Kalra:
  Modified Forward Only Counterpropogation Network (MFOCPN) for Improved Color Quantization by Entropy based Sub-clustering. 1865-1870
  
• Aleksander Mendyk, Przemyslaw Dorozynski, Renata Jachowicz:
  Artificial Neural Networks as Modeling Tools in the Identification of Drugs Release Mechanisms from Hydrodynamically-Balanced Systems Formulated with Various Polymers. 1871-1876
  
• Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert:
  Intuitive Clustering of Biological Data. 1877-1882
  
• Sudhir Rao, António R. C. Paiva, Jose C. Principe:
  A Novel Weighted LBG Algorithm for Neural Spike Compression. 1883-1887
  
• Byron Olson, Jennie Si:
  Adaptation in Neural Activity for Directional Control. 1888-1893
  
• Mohammed A. Hasan:
  Orthonormalization Learning Algorithms. 1894-1899
  
• Renata L. M. do Rego, Aluizio F. R. E. Araújo, Fernando Buarque de Lima Neto:
  Growing Self-Organizing Maps for Surface Reconstruction from Unstructured Point Clouds. 1900-1905
  
• Mohammed A. Hasan:
  Adaptive Diagonalization for Canonical Correlation Analysis. 1906-1911
  
• Olga Nechaeva:
  The Neural Network Approach to Automatic Construction of Adaptive Meshes on Multiply-connected Domains. 1912-1917
  
• Gao Daqi, Sun Xiaoning:
  Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions. 1918-1923
  
• Kiyomi Nakamura, Hironobu Takano:
  Unregistered Face Discrimination by the Face Orientation and Size Recognition. 1924-1928
  
• Marcela P. Moreira, Leonardo T. B. Santos, Marley M. B. Vellasco:
  Power Transformers Diagnosis Using Neural Networks. 1929-1934
  
• Ivan Aquino, Cesar Oswaldo Perez Pinche, Jacqueline Karina Chavez Cuzcano, Samuel Oporto Diaz:
  Daily Load Forecasting Using Quick Propagation Neural Network with a Special Holiday Encoding. 1935-1940
  
• Andrew R. Pariser, Willard L. Miranker:
  Dimensionality Reduction via Self-Organizing Feature Maps for Collaborative Filtering. 1941-1946
  
• Gabriel L. F. B. G. Azevedo, George D. C. Cavalcanti, Edson C. B. Carvalho Filho:
  Hybrid Solution for the Feature Selection in Personal Identification Problems through Keystroke Dynamics. 1947-1952
  
• Alexander Ocsa, Carlos Bedregal, Ernesto Cuadros-Vargas:
  DB-GNG: A constructive Self-Organizing Map based on densilty. 1953-1958
  
• Mohammad Gholamrezaei, Kaveh Ghorbanian:
  Rotated General Regression Neural Network. 1959-1964
  
• Antonio Pedro Timoszczuk, Euvaldo F. Cabral Jr.:
  Speaker Recognition Using Pulse Coupled Neural Networks. 1965-1969
  
• Martin V. Butz, Alexandra Lenhard, Oliver Herbort:
  Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks. 1970-1975
  
• George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu:
  A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization. 1976-1981
  
• Toshiro Kubota:
  A Higher Order Associative Memory with McCulloch-Pitts neurons and Plastic Synapses. 1982-1989
  
• Pablo Zegers, Gonzalo Correa:
  Boosting Learning Machines with Function Compositions to Avoid Local Minima in Regression Problems. 1990-1994
  
• Mohammad Reza Soltani, Kaveh Ghorbanian, Mohammad Gholamrezaei, Mohammad Reza Amiralaei:
  Unsteady Three Dimensional Aerodynamic Load Prediction Using Neural Networks. 1995-1999
  
• Hironobu Takano, Takeshi Kawasaki, Hiroki Kobayashi, Kiyomi Nakamura:
  Iris Discrimination Combined with the Shape and Orientation Recognition. 2000-2004
  
• Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada:
  Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis. 2005-2009
  
• Weiming Li, Xiao-Hua Yu:
  A Self-tuning Controller for Real-time Voltage Regulation. 2010-2014
  
• Takeshi Nishida, Shuichi Kurogi, Yuji Takemura, Hirohito Fukumoto, Shota Okada:
  Range Data Approximation for Mobile Robot by Using CAN2. 2015-2019
  
• Shawn E. Taylor, Michael J. Healy, Thomas P. Caudell:
  Categorical Mapping from Ontology to Neural Network: Initial Studies of Simple Neural Networks' Concept Capacity. 2020-2025
  
• Alan Rosen, Daniel Rosen:
  A Robotic Optical Circuit that Generates a 3D-visual Image: Solution to the inverse optics problem for robotic visual seeing by reverse engineering the neurophysiology of the modalities of the retinal receptors. 2026-2033
  
• Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sperduti:
  Preference Learning for Category-Ranking based Interactive Text Categorization. 2034-2039
  
• Jaerock Kwon, Yoonsuck Choe:
  Enhanced Facilitatory Neuronal Dynamics for Delay Compensation. 2040-2045
  
• Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, Jose C. Principe:
  A New Nonlinear Similarity Measure for Multichannel Biological Signals. 2046-2051
  
• Baohua Li, Jennie Si:
  Approximate Robust Policy Iteration for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Parametric Transition Matrices. 2052-2057
  
• Dulany B. Weaver, Michael J. Healy, Thomas P. Caudell:
  An Application of Category-Theoretic Design Methods to the Control of a Simulated Robot. 2058-2063
  
• Il Park, António R. C. Paiva, Jose C. Principe, John G. Harris:
  A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters. 2064-2068
  
• Pablo A. Estévez, Ricardo Zilleruelo-Ramos, Jacek M. Zurada:
  Window Merge Neural Gas for Processing Pattern Sequences. 2069-2074
  
• Ranjan Acharyya, Fredric M. Ham:
  A New Approach for Blind Separation of Convolutive Mixtures. 2075-2080
  
• Marek W. Doniec, Brian Scassellati, Willard L. Miranker:
  Emergence of Language-Specific Phoneme Classifiers in Self-Organized Maps. 2081-2086
  
• Wenxin Liu, Li Liu, David A. Cartes:
  Slow Co