Volume 6, Number 1, January 1995
, E. Thomsen
: An accelerated learning algorithm for multilayer perceptrons: optimization layer by layer.
, Ying Sun
: Back-propagation network and its configuration for blood vessel detection in angiograms.
, Anthony N. Michel
: Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons.
, Alan L. Yuille
: Robust principal component analysis by self-organizing rules based on statistical physics approach.
: Gradient descent learning algorithm overview: a general dynamical systems perspective.
: Analog optimization with Wong's stochastic neural network.
Volume 6, Number 2, March 1995
, Thomas F. Krile
: Reliability characteristics of quadratic Hebbian-type associative memories in optical and electronic network implementations.
Steve W. Piche
: The selection of weight accuracies for Madalines.
: Binary classification by stochastic neural nets.
: Sensitivity of equilibrium points in continuous-time Hopfield's network.
: Design of a perceptron-like algorithm based on system identification techniques.
C. S. Berger
: Recursive single-layer nets for output error dynamic models.
: Adaptation algorithms for 2-D feedforward neural networks.
Volume 6, Number 3, May 1995
, Erkki Oja
: Distortion tolerant pattern recognition based on self-organizing feature extraction.
, Philippe Réfrégier
: Theoretical investigation of the robustness of multilayer perceptrons: analysis of the linear case and extension to nonlinear networks.
: On sequential construction of binary neural networks.
: Approximating maximum clique with a Hopfield network.
: A recurrent Newton algorithm and its convergence properties.
, Zheng Bao
: Dynamical system for computing the eigenvectors associated with the largest eigenvalue of a positive definite matrix.
Volume 6, Number 4, July 1995
, Hong Chen
: Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural networks.
, Hong Chen
: Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems.
Robert L. Fry
: Observer-participant models of neural processing.
: Emergent synchrony in locally coupled neural oscillators.
: Analysis and design of an analog sorting network.
, Jyh-Ping Lee
: The decision-making properties of discrete multiple exponential bidirectional associative memories.
Stefan C. Kremer
: On the computational power of Elman-style recurrent networks.
, Youngjik Lee
: Sensitivity analysis of single hidden-layer neural networks with threshold functions.
Volume 6, Number 5, September 1995
Okan K. Ersoy
, Shi-Wee Deng
: Parallel, self-organizing, hierarchical neural networks with continuous inputs and outputs.
: A synthesis procedure for brain-state-in-a-box neural networks.
: The upper bound neural network and a class of consistent labeling problems.
Barak A. Pearlmutter
: Gradient calculations for dynamic recurrent neural networks: a survey.
: On the persistency of excitation in radial basis function network identification of nonlinear systems.
Sel B. Colak
: Vector mapping with a nonlinear electronic layer for distributed neural networks.
Rick L. Jenison
, Kate Fissell
: A comparison of the von Mises and Gaussian basis functions for approximating spherical acoustic scatter.
: Optimization neural network for solving flow problems.
Gary G. Yen
: Eigenstructure bidirectional associative memory: an effective synthesis procedure.
Volume 6, Number 6, November 1995
, Yoh-Han Pao
: Stochastic choice of basis functions in adaptive function approximation and the functional-link net.
: Collision identification between convex polyhedra using neural networks.
: Stability properties of labeling recursive auto-associative memory.
: Self-organizing QRS-wave recognition in ECG using neural networks.
: A nodal link perceptron network with applications to control of a nonholonomic system.
Philip M. Long
: On the sample complexity of PAC learning half-spaces against the uniform distribution.