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Neural Networks for Optimization and Signal Processing

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ISBN-10: 0471930105

ISBN-13: 9780471930105

Edition: 1993

Authors: Andrzej Cichocki, R. Unbehauen

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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.
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Book details

Copyright year: 1993
Publisher: John Wiley & Sons, Incorporated
Publication date: 6/7/1993
Binding: Hardcover
Pages: 548
Size: 6.50" wide x 9.50" long x 1.50" tall
Weight: 2.134
Language: English

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
Subject Index