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ORCIDNeural Networks, Volume 3
Volume 3, Number 1, 1990
- Stephen Grossberg:
The second anniversary of Neural Networks. 1
- Nobuo Suga:
Cortical computational maps for auditory imaging. 3-21 - Kevin J. Lang, Alex Waibel, Geoffrey E. Hinton:
A time-delay neural network architecture for isolated word recognition. 23-43 - Jonathan A. Marshall:
Self-organizing neural networks for perception of visual motion. 45-74 - Douglas B. Tweed, Tutis Vilis:
The superior colliculus and spatiotemporal translation in the saccadic system. 75-86 - David M. Clark, K. Ravishankar:
A convergence theorem for Grossberg learning. 87-92 - Dennis J. Volper, Steven E. Hampson:
Quadratic function nodes: Use, structure and training. 93-107 - Donald F. Specht:
Probabilistic neural networks. 109-118 - Han L. J. van der Maas
, Paul F. M. J. Verschure, Peter C. M. Molenaar:
A note on chaotic behavior in simple neural networks. 119-122
Volume 3, Number 2, 1990
- Patrick A. Shoemaker:
Comments about Hartstein and Koch : Neural Networks, 1989, 2, 395-403. 127- - Allan Hartstein, Roger H. Koch:
Reply. 127-128 - Gail A. Carpenter, Stephen Grossberg:
ART 3: Hierarchical search using chemical transmitters in self-organizing pattern recognition architectures. 129-152 - Yong Yao, Walter J. Freeman:
Model of biological pattern recognition with spatially chaotic dynamics. 153-170 - John G. Taylor:
A silicon model of vertebrate retinal processing. 171-178 - Paul J. Werbos:
Consistency of HDP applied to a simple reinforcement learning problem. 179-189 - Stephen I. Gallant:
A connectionist learning algorithm with provable generalization and scaling bounds. 191-201 - Eyal Yair, Allen Gersho:
The Boltzmann Perceptron Network: A soft classifier. 203-221 - Hiro-Fumi Yanai, Yasuji Sawada:
Associative memory network composed of neurons with hysteretic property. 223-228 - Donald L. Wenskay:
Intellectual property protection for neural networks. 229-236
Volume 3, Number 3, 1990
- Hanspeter A. Mallot, Werner von Seelen, Fotios Giannakopoulos:
Neural mapping and space-variant image processing. 245-263 - Robert Fanelli, Theodore Raphan, Charles Schnabolk:
Neural network modelling of eye compensation during off-vertical-axis rotation. 265-276 - Stanley C. Ahalt, Ashok K. Krishnamurthy, Prakoon Chen, Douglas E. Melton:
Competitive learning algorithms for vector quantization. 277-290 - Neil A. Thacker, John E. W. Mayhew:
Designing a layered network for context sensitive pattern classification. 291-299 - X. Xu, Wei-Tek Tsai:
Constructing associative memories using neural networks. 301-309 - Emanuel Marom:
Associative memory neural networks with concatenated vectors and nonzero diagonal terms. 311-318 - Jung-Hua Wang, Thomas F. Krile, John F. Walkup:
Determination of hopfield associative memory characteristics using a single parameter. 319-331 - Howard C. Card, Will R. Moore:
Silicon models of associative learning in Aplysia. 333-346 - P. Occhinegro, Roberto Tagliaferri:
Classes of efficiently computable linear neural nets. 347-353 - Mohamad H. Hassoun, Ashvin J. Sanghvi:
Fast computation of optimal paths in two- and higher-dimension maps. 355-363
Volume 3, Number 4, 1990
- Andrew R. Webb, David Lowe:
The optimised internal representation of multilayer classifier networks performs nonlinear discriminant analysis. 367-375 - Ahmed Hemani, Adam Postula:
Cell placement by self-organisation. 377-383 - Giuseppe Martinelli, Lucio Prina Ricotti, Susanna Ragazzini:
Nonstationary lattice quantization by a self-organizing neural network. 385-393 - Hermann Haken, J. A. Scott Kelso, Armin Fuchs, Abhijit S. Pandya:
Dynamic pattern recognition of coordinated biological motion. 395-401 - Etienne Barnard, David P. Casasent:
Shift invariance and the neocognitron. 403-410 - Yutaka Sakaguchi:
Topographic organization of nerve field with teacher signal. 411-421 - Wolfgang Banzhaf, Hermann Haken:
Learning in a competitive network. 423-435 - Hung-Chun Yau, Michael T. Manry:
Iterative improvement of a Gaussian classifier. 437-443 - David H. Wolpert:
Constructing a generalizer superior to NETtalk via a mathematical theory of generalization. 445-452 - Léon Bottou, Françoise Fogelman-Soulié, Pascal Blanchet, Jean-Sylvain Liénard:
Speaker-independent isolated digit recognition: Multilayer perceptrons vs. Dynamic time warping. 453-465 - M. A. Styblinski, Tian-Shen Tang:
Experiments in nonconvex optimization: Stochastic approximation with function smoothing and simulated annealing. 467-483
Volume 3, Number 5, 1990
- Haluk Ögmen, S. Gagné:
Neural network architectures for motion perception and elementary motion detection in the fly visual system. 487-505 - Dean V. Buonomano, Douglas A. Baxter, John H. Byrne:
Small networks of empirically derived adaptive elements simulate some higher-order features of classical conditioning. 507-523 - David M. Clark, K. Ravishankar:
Acquisition and decay rates in synaptically coded memory. 525-533 - Halbert White:
Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings. 535-549 - Kurt Hornik, Maxwell B. Stinchcombe, Halbert White:
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. 551-560 - Tom Tollenaere:
SuperSAB: Fast adaptive back propagation with good scaling properties. 561-573 - John Shawe-Taylor, David A. Cohen:
Linear programming algorithm for neural networks. 575-582 - David G. Bounds, Paul J. Lloyd, Bruce G. Mathew:
A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders. 583-591 - Ronald H. Silverman, Andrew S. Noetzel:
Image processing and pattern recognition in ultrasonograms by backpropagation. 593-603
Volume 3, Number 6, 1990
- Michael A. Cohen:
The stability of sustained oscillations in symmetric cooperative-competitive networks. 609-612 - Santosh S. Venkatesh, Girish Pancha, Demetri Psaltis, Gabriel Sirat:
Shaping attraction basins in neural networks. 613-623 - Shigeru Tanaka:
Theory of self-organization of cortical maps: Mathematical framework. 625-640 - Esther Levin:
A recurrent neural network: Limitations and training. 641-650 - Eric Mjolsness, Charles Garrett:
Algebraic transformations of objective functions. 651-669 - Vijaykumar Gullapalli:
A stochastic reinforcement learning algorithm for learning real-valued functions. 671-692 - Bernhard R. Kämmerer, Wolfgang A. Küpper:
Experiments for isolated-word recognition with single- and two-layer perceptrons. 693-706 - Amir F. Atiya:
An unsupervised learning technique for artificial neural networks. 707-711
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