Neural Networks, Volume 7

Volume 7, Number 1, 1994

• P. Patrick van der Smagt:
  Minimisation methods for training feedforward neural networks. 1-11
  
• Michael E. Hasselmo:
  Runaway synaptic modification in models of cortex: Implications for Alzheimer's disease. 13-40
  
• Kunihiko Fukushima, Masato Okada, Kazuhito Hiroshige:
  Neocognitron with dual C-cell layers. 41-47
  
• Yoko Yamaguchi, Hiroshi Shimizu:
  Pattern recognition with figure-ground separation by generation of coherent oscillations. 49-63
  
• David Hestenes:
  Invariant body kinematics: I. Saccadic and compensatory eye movements. 65-77
  
• David Hestenes:
  Invariant body kinematics: II. Reaching and neurogeometry. 79-88
  
• Tarek M. Nabhan, Albert Y. Zomaya:
  Toward generating neural network structures for function approximation. 89-99
  
• Michael D. Lemmon:
  Topologically ordered competitive sampling. 101-111
  
• Juha Karhunen, Jyrki Joutsensalo:
  Representation and separation of signals using nonlinear PCA type learning. 113-127
  
• Eric B. Bartlett:
  Dynamic node architecture learning: An information theoretic approach. 129-140
  
• John M. DeLaurentis, Fred M. Dickey:
  A convexity-based analysis of neural networks. 141-146
  
• Daniel F. McCaffrey, A. Ronald Gallant:
  Convergence rates for single hidden layer feedforward networks. 147-158
  
• Gail A. Carpenter:
  A distributed outstar network for spatial pattern learning. 159-168
  
• Pierre Courrieu:
  Three algorithms for estimating the domain of validity of feedforward neural networks. 169-174
  
• Christian Cachin:
  Pedagogical pattern selection strategies. 175-181
  
• Françoise Beaufays, Youssef Abdel-Magid, Bernard Widrow:
  Application of neural networks to load-frequency control in power systems. 183-194
  
• Anna Esposito, Salvatore Rampone, Roberto Tagliaferri:
  A neural network for error correcting decoding of binary linear codes. 195-202
  
• Qing Hu, David B. Hertz:
  An inappropriate use of neural networks for forecasting. 203-
  
• Kanad Chakraborty, Kishan G. Mehrotra, Chilukuri K. Mohan, Sanjay Ranka:
  Response to letter by Q. Hu and D. B. Hertz. 203-204
  
• Stephen Grossberg:
  Recognition and segmentation of connected characters with selective attention. 205-206
  
• Kunihiko Fukushima:
  Response to letter by S. Grossberg. 206-207
  

Volume 7, Number 2, 1994

• Yukio Hayashi:
  Oscillatory neural network and learning of continuously transformed patterns. 219-231
  
• Joshua Chover:
  Recall via transient neuronal firing. 233-250
  
• Kaining Wang, Anthony N. Michel:
  Robustness and perturbation analysis of a class of artificial neural networks. 251-259
  
• Stefan Wimbauer, Nikolaus Klemmer, J. Leo van Hemmen:
  Universality of unlearning. 261-270
  
• Elias B. Kosmatopoulos, Manolis A. Christodoulou:
  The Boltzmann g-RHONN: A learning machine for estimating unknown probability distributions. 271-278
  
• Gerald Fahner, Rolf Eckmiller:
  Structural adaptation of parsimonious higher-order neural classifiers. 279-289
  
• Zhenni Wang, Christine Di Massimo, Ming T. Tham, A. Julian Morris:
  A procedure for determining the topology of multilayer feedforward neural networks. 291-300
  
• Zaiyong Tang, Gary J. Koehler:
  Deterministic global optimal FNN training algorithms. 301-311
  
• Danny S. Thomas, Amar Mitiche:
  Asymptotic optimality of pattern recognition by regression analysis. 313-320
  
• Bagrat R. Amirikian, Hajime Nishimura:
  What size network is good for generalization of a specific task of interest? 321-329
  
• Li Deng, Khaled Hassanein, Mohamed I. Elmasry:
  Analysis of the correlation structure for a neural predictive model with application to speech recognition. 331-339
  
• Robert W. Smalz, Michael Conrad:
  Combining evolution with credit apportionment: A new learning algorithm for neural nets. 341-351
  
• Sushmita Mitra, Sankar K. Pal:
  Logical operation based fuzzy MLP for classification and rule generation. 353-373
  
• Apostolos-Paul Nicholas Refenes, Achileas D. Zapranis, Gavin Francis:
  Stock performance modeling using neural networks: A comparative study with regression models. 375-388
  
• Jun Takeuchi, Yukio Kosugi:
  Neural network representation of finite element method. 389-395
  
• Salvatore Cavalieri, Antonella Di Stefano, Orazio Mirabella:
  Optimal path determination in a graph by hopfield neural network. 397-404
  
• Paolo Gaudiano, Dimitrij Surmeli, Frank D. M. Wilson:
  Gated dipoles for operant conditioning. 405-406
  
• Jennifer L. Raymond, Douglas A. Baxter, Dean V. Buonomano, John H. Byrne:
  Response to letter by Gaudiano et al. 406-407
  
• Mohammad Bahrami:
  Adaptive control of dynamic systems by back propagation network. 409-
  
• W. H. Schiffmann:
  Response to letter by M. Bahrami. 409-410
  
• Qi Jia, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui:
  Equivalence relation between the back propagation learning process of an FNN and that of an FNNG. 411-
  

Volume 7, Number 3, 1994

• Masakazu Matsugu, Alan L. Yuille:
  Spatiotemporal information storage in a content addressable memory using realistic neurons. 419-439
  
• Nur Arad, Eric L. Schwartz, Zvi Wollberg, Yehezkel Yeshurun:
  Acoustic binaural correspondence used for localization of natural acoustic signals. 441-447
  
• Morris W. Hirsch:
  Saturation at high gain in discrete time recurrent networks. 449-453
  
• Hidefumi Katsuura, David A. Sprecher:
  Computational aspects of Kolmogorov's superposition theorem. 455-461
  
• Robert L. Coultrip, Richard H. Granger:
  Sparse random networks with LTP learning rules approximate Bayes classifiers via Parzen's method. 463-476
  
• J. J. Kosowsky, Alan L. Yuille:
  The invisible hand algorithm: Solving the assignment problem with statistical physics. 477-490
  
• Kevin S. Van Horn, Tony R. Martinez:
  The minimum feature set problem. 491-494
  
• Michael Georgiopoulos, Juxin Huang, Gregory L. Heileman:
  Properties of learning in ARTMAP. 495-506
  
• Thomas Martinetz, Klaus Schulten:
  Topology representing networks. 507-522
  
• Y. Guan, Trevor G. Clarkson, John G. Taylor, Denise Gorse:
  Noisy reinforcement training for pRAM nets. 523-528
  
• Fu-Lai Chung, Tong Lee:
  Fuzzy competitive learning. 539-551
  
• Jun Tani, Naohiro Fukumura:
  Learning goal-directed sensory-based navigation of a mobile robot. 553-563
  
• Leonid I. Perlovsky:
  A model-based neural network for transient signal processing. 565-572
  
• Daniel C. Chin:
  A more efficient global optimization algorithm based on Styblinski and Tang. 573-574
  

Volume 7, Number 4, 1994

• Jean-François Vibert, Khashayar Pakdaman, Noureddine Azmy:
  Interneural delay modification synchronizes biologically plausible neural networks. 589-607
  
• Lei Xu, Adam Krzyzak, Alan L. Yuille:
  On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size. 609-628
  
• Jun Wang:
  A deterministic annealing neural network for convex programming. 629-641
  
• Sukhan Lee, Rhee Man Kil:
  Redundant arm kinematic control with recurrent loop. 643-659
  
• Vicken Kasparian, Celal Batur, H. Zhang, Joseph Padovan:
  Davidon least squares-based learning algorithm for feedforward neural networks. 661-670
  
• Leonid I. Perlovsky, John Jaskolski:
  Maximum likelihood adaptive neural controller. 671-680
  
• Laura I. Burke:
  Neural methods for the traveling salesman problem: Insights from operations research. 681-690
  
• Roberto Battiti, Anna Maria Colla:
  Democracy in neural nets: Voting schemes for classification. 691-707
  
• Charles M. Bachmann, Scott A. Musman, Dong Luong, Abraham Schultz:
  Unsupervised BCM projection pursuit algorithms for classification of simulated radar presentations. 709-728
  

Volume 7, Number 5, 1994

• Kumpati S. Narendra, Snehasis Mukhopadhyay:
  Adaptive control of nonlinear multivariable systems using neural networks. 737-752
  
• Kiyotoshi Matsuoka, Mitsuru Kawamoto:
  A neural network that self-organizes to perform three operations related to principal component analysis. 753-765
  
• Luis Gonzalez Sotelino, Marco Saerens, Hugues Bersini:
  Classification of temporal trajectories by continuous-time recurrent nets. 767-776
  
• Galina L. Rogova:
  Combining the results of several neural network classifiers. 777-781
  
• Ali A. Minai, Ronald D. Williams:
  Perturbation response in feedforward networks. 783-796
  
• Keihiro Ochiai, Naohiro Toda, Shiro Usui:
  Kick-out learning algorithm to reduce the oscillation of weights. 797-807
  
• Brian A. Telfer, Harold Szu:
  Energy functions for minimizing misclassification error with minimum-complexity networks. 809-817
  
• Johan A. K. Suykens, Bart De Moor, Joos Vandewalle:
  Static and dynamic stabilizing neural controllers, applicable to transition between equilibrium points. 819-831
  
• Kootala P. Venugopal, Abhijit S. Pandya, Raghavan Sudhakar:
  A recurrent neural network controller and learning algorithm for the on-line learning control of autonomous underwater vehicles. 833-846
  
• E. V. Krishnamurthy:
  Unsolvability, complexity, and neural networks. 847-848
  
• Kevin T. Judd, Kazuyuki Aihara:
  Response to letter by E. V. Krishnamurthy. 848-849
  

Volume 7, Number 6-7, 1994

• Stephen Grossberg, John G. Taylor:
  Introduction: 1994 Special issue. 863-
  

• Gary G. Blasdel, Klaus Obermayer:
  Putative strategies of scene segmentation in monkey visual cortex. 865-881
  
• Stephen Grossberg, Steven J. Olson:
  Rules for the cortical map of ocular dominance and orientation columns. 883-894
  
• Robert K. Cunningham, Allen M. Waxman:
  Diffusion-enhancement bilayer: Realizing long-range apparent motion and spatiotemporal grouping in a neural architecture. 895-924
  
• Stephen R. Jackson, Richard T. Marrocco, Michael I. Posner:
  Networks of anatomical areas controlling visuospatial attention. 925-944
  
• Mike W. Oram, David I. Perrett:
  Modeling visual recognition from neurobiological constraints. 945-972
  
• Samuel Kaski, Teuvo Kohonen:
  Winner-take-all networks for physiological models of competitive learning. 973-984
  
• Bart L. M. Happel, Jacob M. J. Murre:
  Design and evolution of modular neural network architectures. 985-1004
  
• Daniel L. Alkon, Kim T. Blackwell, Garth S. Barbour, Susan A. Werness, Thomas P. Vogl:
  Biological plausibility of synaptic associative memory models. 1005-1017
  
• Wolfgang Konen, Thomas Maurer, Christoph von der Malsburg:
  A fast dynamic link matching algorithm for invariant pattern recognition. 1019-1030
  
• Theodore W. Berger, Gilbert A. Chauvet, Robert J. Sclabassi:
  A biologically based model of functional properties of the hippocampus. 1031-1064
  
• Neil Burgess, Michael Recce, John O'Keefe:
  A model of hippocampal function. 1065-1081
  
• Ivan A. Bachelder, Allen M. Waxman:
  Mobile robot visual mapping and localization: A view-based neurocomputational architecture that emulates hippocampal place learning. 1083-1099
  
• Daniel Bullock, John C. Fiala, Stephen Grossberg:
  A neural model of timed response learning in the cerebellum. 1101-1114
  
• Kuniharu Arai, Edward L. Keller, Jay A. Edelman:
  Two-dimensional neural network model of the primate saccadic system. 1115-1135
  
• Jim-Shih Liaw, Ananda Weerasuriya, Michael A. Arbib:
  Snapping: A paradigm for modeling coordination of motor synergies. 1137-1152
  
• Paul C. Bressloff, John G. Taylor:
  Dynamics of compartmental model neurons. 1153-1165
  
• Raju S. Bapi, Daniel S. Levine:
  Modeling the role of frontal lobes in sequential task performance. I. Basic structure and primacy effects. 1167-1180
  
• John G. Taylor:
  Goals, drives, and consciousness. 1181-1190
  

Volume 7, Number 8, 1994

• Benedikt K. Humpert:
  Improving back propagation with a new error function. 1191-1192
  
• Hideki Hayakawa, Shinya Nishida, Yasuhiro Wada, Mitsuo Kawato:
  A computational model for shape estimation by integration of shading and edge information. 1193-1209
  
• Naonori Ueda, Ryohei Nakano:
  A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers. 1211-1227
  
• Stefan Jockusch, Helge Ritter:
  Self-organizing maps: Local competition and evolutionary optimization. 1229-1239
  
• Kunikazu Kobayashi, Toyoshi Torioka, Nobuhiko Ikeda:
  Fundamental consideration on self-formation of recognition cells. 1241-1252
  
• Norio Baba, Yoshio Mogami, Motokazu Kohzaki, Yasuhiro Shiraishi, Yutaka Yoshida:
  A hybrid algorithm for finding the global minimum of error function of neural networks and its applications. 1253-1265
  
• Kenji Araki, Toshimichi Saito:
  An associative memory including time-variant self-feedback. 1267-1271
  
• Ronald R. Yager:
  Modeling and formulating fuzzy knowledge bases using neural networks. 1273-1283
  
• Burkhard Lenze:
  How to make sigma-pi neural networks perform perfectly on regular training sets. 1285-1293
  
• Alexander Shustorovich:
  A subspace projection approach to feature extraction: The two-dimensional gabor transform for character recognition. 1295-1301
  
• Hiroshi Ohno, Toshihiko Suzuki, Keiji Aoki, Arata Takahasi, Gunji Sugimoto:
  Neural network control for automatic braking control system. 1303-1312
  
• Thomas Wagner, Friedrich G. Boebel:
  Testing synergetic algorithms with industrial classification problems. 1313-1321
  

Volume 7, Number 9, 1994

• Thomas P. Caudell, Scott D. G. Smith, Richard Escobedo, Michael Anderson:
  NIRS: Large scale ART-1 neural architectures for engineering design retrieval. 1339-1350
  
• Brendan L. Rogers:
  New neural multiprocess memory model for adaptively regulating associative learning. 1351-1378
  
• Tao Wang:
  Improving recall in associative memories by dynamic threshold. 1379-1385
  
• Anne-Johan Annema, Klaas Hoen, Hans Wallinga:
  Learning behavior and temporary minima of two-layer neural networks. 1387-1404
  
• Roberto Brunelli:
  Training neural nets through stochastic minimization. 1405-1412
  
• Bill G. Horne, Don R. Hush:
  On the node complexity of neural networks. 1413-1426
  
• Patrick Thiran, Martin Hasler:
  Self-organization of a one-dimensional Kohonen network with quantized weights and inputs. 1427-1439
  
• Bernd Fritzke:
  Growing cell structures--A self-organizing network for unsupervised and supervised learning. 1441-1460
  
• Bernard Ans, Yves Coiton, Jean-Claude Gilhodes, Jean-Luc Velay:
  A neural network model for temporal sequence learning and motor programming. 1461-1476
  
• Yan Qiu Chen, David W. Thomas, Mark S. Nixon:
  Generating-shrinking algorithm for learning arbitrary classification. 1471-1489