Neural Networks in Optimization

by Zhang, Xiang-Sun

• ISBN13: 9780792365150
• ISBN10: 0792365151
• Format: Hardcover
• Copyright: 2000-10-01
• Publisher: Kluwer Academic Pub

Summary

The book consists of three parts. The first part introduces concepts and algorithms in optimization theory, which have been used in neural network research. The second part covers main neural network models and their theoretical analysis. The third part of the book introduces various neural network models for solving nonlinear programming problems and combinatorial optimization problems. Audience: Graduate students and researchers who are interested in the intersection of optimization theory and artificial neural networks. The book is appropriate for graduate courses.

Table of Contents

List of Figures

Preface

Concepts and Models of Optimization

Preliminaries

Introduction to Mathematical Programming

Unconstrained Nonlinear Programming

Constrained Nonlinear Programming

Basic Artificial Neural Network Models

Introduction to Artificial Neural Network

Feedforward Neural Networks

Feedback Neural Networks

Self-Organized Neural Networks

Neural Algorithms for Optimization

NN Models for Combinatorial Problems

NN For Quadratic Programming Problems

NN For General Nonlinear Programming

NN For Linear Programming

A Review on NN for Continuious Optimization

References

Index

Table of Contents provided by Publisher. All Rights Reserved.