Volume 10, Number 1, January 1999
: Discrete-time CMAC NN control of feedback linearizable nonlinear systems under a persistence of excitation.
Volume 10, Number 2, March 1999
, Miroslav Koteles
: Extracting finite-state representations from recurrent neural networks trained on chaotic symbolic sequences.
Stefan C. Kremer
: Identification of a specific limitation on local-feedback recurrent networks acting as Mealy-Moore machines.
Volume 10, Number 3, May 1999
: Neural mechanisms of scene segmentation: recordings from the visual cortex suggest basic circuits for linking field models.
Eugene M. Izhikevich
: Class 1 neural excitability, conventional synapses, weakly connected networks, and mathematical foundations of pulse-coupled models.
Eugene M. Izhikevich
: Weakly pulse-coupled oscillators, FM interactions, synchronization, and oscillatory associative memory.
: Frequency-based multilayer neural network with on-chip learning and enhanced neuron characteristics.
: Fast and robust fixed-point algorithms for independent component analysis.
Volume 10, Number 4, July 1999
, Bo Zhang
: A geometrical representation of McCulloch-Pitts neural model and its applications.
, X. Rong Li
: A fast U-D factorization-based learning algorithm with applications to nonlinear system modeling and identification.
: New stability conditions for Hopfield networks in partial simultaneous update mode.
, Kate A. Smith
: A unified framework for chaotic neural-network approaches to combinatorial optimization.
: Independent component analysis: theory and applications [Book Review].
Volume 10, Number 5, September 1999
James Tin-Yau Kwok
: Moderating the outputs of support vector machine classifiers.
, S. Amari
: Blind separation of uniformly distributed signals: a general approach.
A. A. Ding
: Neural-network prediction with noisy predictors.
, Y. Wu
, B. L. Luk
: Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks.
, Masami Ito
: Task decomposition and module combination based on class relations: a modular neural network for pattern classification.
Volume 10, Number 6, November 1999
W. A. Wright
: Bayesian approach to neural-network modeling with input uncertainty.
: Partition-based and sharp uniform error bounds.
: Stability analysis of Hopfield-type neural networks.
, Soo-Young Lee
: Corrections to "a new error function at hidden layers for fast training of multilayer perceptrons".