Volume 10, Number 1, January 1997
: Simplex Memory Neural Networks.
Charles W. Lee
: Training Feedforward Neural Networks: An Algorithm Giving Improved Generalization.
Assaf J. Zeevi
, Ronny Meir
: Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds.
Ryan G. Rosandich
: HAVNET: A New Neural Network Architecture for Pattern Recognition.
, Naohiro Fukumura
: Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO.
Volume 10, Number 2, March 1997
: A Dynamic Theory of Acquisition and Extinction in Operant Learning.
: A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit.
: Variational Approach to Unsupervised Learning Algorithms of Neural Networks.
: Convergence Suppression and Divergence Facilitation: Minimum and Joint Use of Hidden Units by Multiple Outputs.
: Even on Finite Test Sets Smaller Nets may Perform Better.
Volume 10, Number 3, April 1997
: On the Computational Power of Recurrent Neural Networks for Structures.
: A Function of Neural Networks Generating End- and Side-inhibition in the Primary Visual Cortex.
Marc M. Van Hulle
: Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule.
David A. Sprecher
: A Numerical Implementation of Kolmogorov's Superpositions II.
Philippe De Wilde
: The Magnitude of the Diagonal Elements in Neural Networks.
, Guo-An Chen
: Efficient Backpropagation Learning Using Optimal Learning Rate and Momentum.
Roelof K. Brouwer
: Automatic Growing of a Hopfield Style Network During Training for Classification.
P. P. Raghu
, B. Yegnanarayana
: Multispectral Image Classification Using Gabor Filters and Stochastic Relaxation Neural Network.
Volume 10, Number 4, June 1997
: On the Storage Capacity of Nonlinear Neural Networks.
: Optimal Linear Combinations of Neural Networks.
V. W. Noonburg
: Threshold-dependent Limit Cycles in a Nonlinear Network Model.
, Lucas C. Parra
: Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network.
Volume 10, Number 5, July 1997
: Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability.
: Investigation of the CasCor Family of Learning Algorithms.
, Anthony Kuh
: Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary.
Volume 10, Number 6, August 1997
: Learning Vector Quantization with Training Count (LVQTC).
: The Stability of the Generalized Hopfield Networks in Randomly Asynchronous Mode.
Volume 10, Number 7, October 1997
Walter J. Freeman
: Three Centuries of Category Errors in Studies of the Neural Basis of Consciousness and Intentionality.
: From Brains to Neural Nets to Brains.
: Learning, action and consciousness: a hybrid approach toward modelling consciousness.
Robert Alan Brown
: Consciousness in a Self-Learning, Memory-Controlled, Compound Machine.
Volume 10, Number 8, November 1997
: An Extension of the Back-Propagation Algorithm to Complex Numbers.
: Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units.
Gail A. Carpenter
: Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural Networks.
: Proving Hardness of Neural Network Training Problems.
Volume 10, Number 9, December 1997
, Colin Fyfe
: An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem.
: Artificial memories: Capacity, basis rate and inference.
: Learning of associative memory networks based upon cone-like domains of attraction.
: Networks of spiking neurons: The third generation of neural network models.
, Sung Yang Bang
: An improved time series prediction by applying the layer-by-layer learning method to FIR neural networks.