Neural Networks in Optimization /

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...

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Bibliographic Details
Main Author: Zhang, Xiang-Sun
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Boston, MA : Springer US, 2000.
Series:Nonconvex optimization and its applications ; 46.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
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.
Item Description:Electronic resource.
Physical Description:1 online resource (xii, 371 pages)
ISBN:9781475731675 (electronic bk.)
1475731671 (electronic bk.)
ISSN:1571-568X ;