Journal: Neural Networks

Volume 7, Issue 9

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

Volume 7, Issue 8

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

Volume 7, Issue 6-7

863 -- 0Stephen Grossberg, John G. Taylor. Introduction: 1994 Special issue
865 -- 881Gary G. Blasdel, Klaus Obermayer. Putative strategies of scene segmentation in monkey visual cortex
883 -- 894Stephen Grossberg, Steven J. Olson. Rules for the cortical map of ocular dominance and orientation columns
895 -- 924Robert K. Cunningham, Allen M. Waxman. Diffusion-enhancement bilayer: Realizing long-range apparent motion and spatiotemporal grouping in a neural architecture
925 -- 944Stephen R. Jackson, Richard T. Marrocco, Michael I. Posner. Networks of anatomical areas controlling visuospatial attention
945 -- 972Mike W. Oram, David I. Perrett. Modeling visual recognition from neurobiological constraints
973 -- 984Samuel Kaski, Teuvo Kohonen. Winner-take-all networks for physiological models of competitive learning
985 -- 1004Bart L. M. Happel, Jacob M. J. Murre. Design and evolution of modular neural network architectures
1005 -- 1017Daniel L. Alkon, Kim T. Blackwell, Garth S. Barbour, Susan A. Werness, Thomas P. Vogl. Biological plausibility of synaptic associative memory models
1019 -- 1030Wolfgang Konen, Thomas Maurer, Christoph von der Malsburg. A fast dynamic link matching algorithm for invariant pattern recognition
1031 -- 1064Theodore W. Berger, Gilbert A. Chauvet, Robert J. Sclabassi. A biologically based model of functional properties of the hippocampus
1065 -- 1081Neil Burgess, Michael Recce, John O Keefe. A model of hippocampal function
1083 -- 1099Ivan A. Bachelder, Allen M. Waxman. Mobile robot visual mapping and localization: A view-based neurocomputational architecture that emulates hippocampal place learning
1101 -- 1114Daniel Bullock, John C. Fiala, Stephen Grossberg. A neural model of timed response learning in the cerebellum
1115 -- 1135Kuniharu Arai, Edward L. Keller, Jay A. Edelman. Two-dimensional neural network model of the primate saccadic system
1137 -- 1152Jim-Shih Liaw, Ananda Weerasuriya, Michael A. Arbib. Snapping: A paradigm for modeling coordination of motor synergies
1153 -- 1165Paul C. Bressloff, John G. Taylor. Dynamics of compartmental model neurons
1167 -- 1180Raju S. Bapi, Daniel S. Levine. Modeling the role of frontal lobes in sequential task performance. I. Basic structure and primacy effects
1181 -- 1190John G. Taylor. Goals, drives, and consciousness

Volume 7, Issue 5

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

Volume 7, Issue 4

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

Volume 7, Issue 3

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

Volume 7, Issue 2

219 -- 231Yukio Hayashi. Oscillatory neural network and learning of continuously transformed patterns
233 -- 250Joshua Chover. Recall via transient neuronal firing
251 -- 259Kaining Wang, Anthony N. Michel. Robustness and perturbation analysis of a class of artificial neural networks
261 -- 270Stefan Wimbauer, Nikolaus Klemmer, J. Leo van Hemmen. Universality of unlearning
271 -- 278Elias B. Kosmatopoulos, Manolis A. Christodoulou. The Boltzmann g-RHONN: A learning machine for estimating unknown probability distributions
279 -- 289Gerald Fahner, Rolf Eckmiller. Structural adaptation of parsimonious higher-order neural classifiers
291 -- 300Zhenni Wang, Christine Di Massimo, Ming T. Tham, A. Julian Morris. A procedure for determining the topology of multilayer feedforward neural networks
301 -- 311Zaiyong Tang, Gary J. Koehler. Deterministic global optimal FNN training algorithms
313 -- 320Danny S. Thomas, Amar Mitiche. Asymptotic optimality of pattern recognition by regression analysis
321 -- 329Bagrat R. Amirikian, Hajime Nishimura. What size network is good for generalization of a specific task of interest?
331 -- 339Li Deng, Khaled Hassanein, Mohamed I. Elmasry. Analysis of the correlation structure for a neural predictive model with application to speech recognition
341 -- 351Robert W. Smalz, Michael Conrad. Combining evolution with credit apportionment: A new learning algorithm for neural nets
353 -- 373Sushmita Mitra, Sankar K. Pal. Logical operation based fuzzy MLP for classification and rule generation
375 -- 388Apostolos-Paul Nicholas Refenes, Achileas D. Zapranis, Gavin Francis. Stock performance modeling using neural networks: A comparative study with regression models
389 -- 395Jun Takeuchi, Yukio Kosugi. Neural network representation of finite element method
397 -- 404Salvatore Cavalieri, Antonella Di Stefano, Orazio Mirabella. Optimal path determination in a graph by hopfield neural network
405 -- 406Paolo Gaudiano, Dimitrij Surmeli, Frank D. M. Wilson. Gated dipoles for operant conditioning
406 -- 407Jennifer L. Raymond, Douglas A. Baxter, Dean V. Buonomano, John H. Byrne. Response to letter by Gaudiano et al
409 -- 0Mohammad Bahrami. Adaptive control of dynamic systems by back propagation network
411 -- 0Qi Jia, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui. Equivalence relation between the back propagation learning process of an FNN and that of an FNNG

Volume 7, Issue 1

1 -- 11P. Patrick van der Smagt. Minimisation methods for training feedforward neural networks
13 -- 40Michael E. Hasselmo. Runaway synaptic modification in models of cortex: Implications for Alzheimer s disease
41 -- 47Kunihiko Fukushima, Masato Okada, Kazuhito Hiroshige. Neocognitron with dual C-cell layers
49 -- 63Yoko Yamaguchi, Hiroshi Shimizu. Pattern recognition with figure-ground separation by generation of coherent oscillations
65 -- 77David Hestenes. Invariant body kinematics: I. Saccadic and compensatory eye movements
79 -- 88David Hestenes. Invariant body kinematics: II. Reaching and neurogeometry
89 -- 99Tarek M. Nabhan, Albert Y. Zomaya. Toward generating neural network structures for function approximation
101 -- 111Michael D. Lemmon. Topologically ordered competitive sampling
113 -- 127Juha Karhunen, Jyrki Joutsensalo. Representation and separation of signals using nonlinear PCA type learning
129 -- 140Eric B. Bartlett. Dynamic node architecture learning: An information theoretic approach
141 -- 146John M. DeLaurentis, Fred M. Dickey. A convexity-based analysis of neural networks
147 -- 158Daniel F. McCaffrey, A. Ronald Gallant. Convergence rates for single hidden layer feedforward networks
159 -- 168Gail A. Carpenter. A distributed outstar network for spatial pattern learning
169 -- 174Pierre Courrieu. Three algorithms for estimating the domain of validity of feedforward neural networks
175 -- 181Christian Cachin. Pedagogical pattern selection strategies
183 -- 194Françoise Beaufays, Youssef Abdel-Magid, Bernard Widrow. Application of neural networks to load-frequency control in power systems
195 -- 202Anna Esposito, Salvatore Rampone, Roberto Tagliaferri. A neural network for error correcting decoding of binary linear codes
203 -- 204Kanad Chakraborty, Kishan G. Mehrotra, Chilukuri K. Mohan, Sanjay Ranka. Response to letter by Q. Hu and D. B. Hertz
203 -- 0Qing Hu, David B. Hertz. An inappropriate use of neural networks for forecasting
205 -- 206Stephen Grossberg. Recognition and segmentation of connected characters with selective attention
206 -- 207Kunihiko Fukushima. Response to letter by S. Grossberg