{
"item_title" : "Neural Computing for Optimization and Combinatorics",
"item_author" : [" Yoshiyasu Takefuji", "Jun Wang "],
"item_description" : "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.A very useful reference book for those who want to solve real-world applications, this 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.",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/021/314/981021314X_b.jpg",
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Overview
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.A very useful reference book for those who want to solve real-world applications, this 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.
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Details
- ISBN-13: 9789810213145
- ISBN-10: 981021314X
- Publisher: World Scientific Publishing Company
- Publish Date: April 1996
- Page Count: 244
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