Neural Networks for Optimization and Signal Processing / Edition 1

Neural Networks for Optimization and Signal Processing / Edition 1

by Andrzej Cichocki, R. Unbehauen
     
 

ISBN-10: 0471930105

ISBN-13: 9780471930105

Pub. Date: 06/15/1993

Publisher: Wiley

A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results.

Overview

A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results.

Product Details

ISBN-13:
9780471930105
Publisher:
Wiley
Publication date:
06/15/1993
Pages:
548
Product dimensions:
6.24(w) x 9.21(h) x 1.50(d)

Table of Contents

Mathematical Preliminaries of Neurocomputing.

Architectures and Electronic Implementation of Neural Network Models.

Unconstrained Optimization and Learning Algorithms.

Neural Networks for Linear, Quadratic Programming and Linear Complementarity Problems.

A Neural Network Approach to the On-Line Solution of a System of Linear Algebraic Equations and Related Problems.

Neural Networks for Matrix Algebra Problems.

Neural Networks for Continuous, Nonlinear, Constrained Optimization Problems.

Neural Networks for Estimation, Identification and Prediction.

Neural Networks for Discrete and Combinatorial Optimization Problems.

Appendices.

Subject Index.

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