Neural Network for Optimization and Combinatorics

By: Yoshiyasu Takefuji (Editor), Jun Wang (Editor)

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Hardcover | 1 December 1995

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Hardcover
244 Pages

Dimensions(cm)
22.86 x 15.88 x 1.91

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Since Hopfield proposed neural-network computing for optimization and combinatorics problems, many neural-network investigators have been working on optimization problems. In this book, a variety of optimization problems and combinatorics problems are presented by respective experts. The book contains applications in graph theory, mathematics, stochastic computing including the multiple relaxation, associative memory and control, resource allocation problems, system identification and dynamic control and job-stop scheduling. It should be useful in solving real-world applications.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Computer Networking & Communications Mathematics Combinatorics & Graph Theory Operating Systems Graphical & Digital Media Applications 3D Graphics & Modelling Applied Mathematics

Chaos Theory Optimisation Linear Programming Booktopia Publisher Services World Scientific Publishing

Preface
Acknowledgments
N-Queen and Crossbar Problems	p. 1
Gate Packing Problems	p. 21
Maximum Clique Problems: Part 1	p. 31
Maximum Clique Problems: Part 2	p. 63
Multi-Layer Channel Routing Problems	p. 79
Job-Shop Scheduling	p. 101
BIBD Problems	p. 121
Discovering RNA Interactions	p. 137
Missionaries and Cannibals Problems	p. 161
Functional Link Nets	p. 177
Identification and Control	p. 189
Ramsey Numbers	p. 219
Table of Contents provided by Blackwell. All Rights Reserved.

Neural Network for Optimization and Combinatorics

At a Glance

Hardcover

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Defective items

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