Neural Networks in Optimization
Author:   Xiang-Sun Zhang
Publisher:   Springer
Volume:   46
ISBN:  

9780792365150


Pages:   371
Publication Date:   31 October 2000
Format:   Hardback
Availability:   In Print   Availability explained
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Neural Networks in Optimization


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Overview

The first part of this work introduces concepts and algorithms in optimization theory which have been used in neural network research. The second covers main neural network models and their theoretical analysis and the third part introduces various neural network models for solving nonlinear programming problems and combinatorial optimization problems.

Full Product Details

Author:   Xiang-Sun Zhang
Publisher:   Springer
Imprint:   Springer
Volume:   46
Dimensions:   Width: 15.60cm , Height: 2.20cm , Length: 23.40cm
Weight:   1.590kg
ISBN:  

9780792365150


ISBN 10:   0792365151
Pages:   371
Publication Date:   31 October 2000
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Preliminaries.- 2. Introduction to Mathematical Programming.- 3. Unconstrained Nonlinear Programming.- 4. Constrained Nonlinear Programming.- 5. Introduction to Artificial Neural Network.- 6. Feedforward Neural Networks.- 7. Feedback Neural Networks.- 8. Self-Organized Neural Networks.- 9. NN Models for Combinatorial Problems.- 10. NN for Quadratic Programming Problems.- 11. NN for General Nonlinear Programming.- 12. NN for Linear Programming.- 13. A Review on NN for Continuious Optimization.- References.

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