Neural Networks in Optimization
By: by Xiang-Sun Zhang
Series: Nonconvex Optimization and Its Applications -- 46; Nonconvex optimization and its applications -- 46.
Publisher: Springer US
Published: 2000
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 371
ISBN-13: 9781441948366; 9781475731675
Subjects: Physics; Mathematical optimization; Information theory; Algorithms; Operations research
Description: 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.
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