IJCNN 2000:
Como,
Italy
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 4.
IEEE 2000 
@proceedings{DBLP:conf/ijcnn/2000-4,
title = {Proceedings of the IEEE-INNS-ENNS International Joint Conference
on Neural Networks, IJCNN 2000, Neural Computing: New Challenges
and Perspectives for the New Millennium, Como, Italy, July 24-27,
2000, Volume 4},
booktitle = {IJCNN (4)},
publisher = {IEEE},
year = {2000},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Clustering II
Special Session on 'Noisy Chaotic Neural Networks for Information Storage and Retrieval'
Hardware Implementation V
Independent Component Analysis II
Medical Applications IV
Vision I
Learnability
Special Session on 'Multiclass Support Vector Machines'
Hardware Implementation VI
- Hossam Abdelbaki, Erol Gelenbe, Said E. El-Khamy:
Analog Hardware Implementation of the Random Neural Network Model.
197-201
- Tertulien Ndjountche, Rolf Unbehauen, Fa-Long Luo:
A 1.5V VLSI Circuit for the Co-Channel Signal Separation.
202-207
- Giacomo Indiveri:
A 2D Neuromorphic VLSI Architecture for Modeling Selective Attention.
208-213
- Yoondong Park, Jim-Shih Liaw, Theodore W. Berger, Bing J. Sheu:
Compact VLSI Neural Network Circuit with High-Capacity Dynamic Synapses.
214-218
- Francesco Diotalevi, Maurizio Valle, Gian Marco Bo, Daniele D. Caviglia:
A VLSI Architecture for Weight Perturbation on Chip Learning Implementation.
219-226
Radial Basis Function Networks II
Medical Applications V
Motion Analysis
Non-Linear Control II
Non-Linear Control III
Non-Linear Control IV
- Toru Fujinaka, Yoshiyuki Kishida, Michifumi Yoshioka, Sigeru Omatu:
Stabilization of Double Inverted Pendulum with Self-Tuning Neuro-PID.
345-348
- Claudio Pernechele, Enrico Giro, Favio Bortoletto:
Neural Network Algorithm Controlling a Hexapod Platform.
349-352
- Elena I. Gaura, Richard J. Rider, Nigel Steele:
Developing Smart Micromachined Transducers Using Feed-Forward Neural Networks: A System Identification and Control Perspective.
353-358
- C. Manzie, M. Palaniswami, H. Watson:
Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer.
359-364
- Miguel Damas, Moisés Salmerón, Julio Ortega:
ANNs and GAs for Predictive Controlling of Water Supply Networks.
365-372
System Identification II
- Ralf Kretzschmar, Hans Richner, Nicolaos B. Karayiannis:
NEURO-BRA: A Bird Removal Approach for Wind Profiler Data Based on Quantum Neural Networks.
373-378
- J. J. Vega, M. R. Reynoso, Miguel Arias-Estrada, Leopoldo Altamirano Robles:
Bragg Curve Identification Using a Neural Network.
379-382
- Eimei Oyama, Taro Maeda, Susumu Tachi:
Goal-Directed Property of On-line Direct Inverse Modeling.
383-388
- Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, C. Navarro, Antonio Tazón, T. Fernández:
A Modular Neural Network for Global Modeling of Microwave Transistors.
389-394
- Angel Mediavilla, Antonio Tazón, J. A. Pereda, Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón:
Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization.
395-402
Time Series Prediction II
Time Series Prediction III
- Anto Satriyo Nugroho, Susumu Kuroyanagi, Akira Iwata:
Fog Forecasting Using Self Growing Neural Network 'CombNET-II: ' A Solution for Imbalanced Training Sets Problem.
429-434
- André Dantas, Koshi Yamamoto, Marcus V. Lamar, Yaeko Yamashita:
Neural Network for Travel Demand Forecast Using GIS and Remote Sensing.
435-440
- Anatoly Sachenko, Volodymyr Kochan, Volodymyr Turchenko, Vladimir Golovko, Yury Savitsky, A. Dunets, T. Laopoulos:
Sensor Errors Prediction Using Neural Networks.
441-448
Time Series Prediction IV
- Ignacio Rojas, Héctor Pomares, Jesús González, Eduardo Ros, Moisés Salmerón, Julio Ortega, Alberto Prieto:
A New Radial Basis Function Networks Structure: Application to Time Series Prediction.
449-454
- Lars U. Hjorth, Ian T. Nabney:
Bayesian Training of Mixture Density Networks.
455-460
- Zouhour Neji Ben Salem, Fériel Mouria-beji:
Neural Network and Time Series Identification and Prediction.
461-466
- Tomoo Aoyama, Hanxi Zhu, Ikuo Yoshihara:
Forecasting of the Chaos by Iterations Including Multi-Layer Neural-Network.
467-471
- Xiaohui Yu, Lei Xu:
Adaptive Improved Portfolio Sharpe Ratio Maximization with Diversification.
472-478
Spiking Neural Networks III
Supervised Learning IV
Supervised Learning V
Recurrent Networks II
Recurrent Networks III
Unsupervised Learning II
Copyright © Fri Mar 12 17:16:06 2010
by Michael Ley (ley@uni-trier.de)
