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{ "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", "price_data" : { "retail_price" : "129.00", "online_price" : "129.00", "our_price" : "129.00", "club_price" : "129.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Neural Computing for Optimization and Combinatorics|Yoshiyasu Takefuji

Neural Computing for Optimization and Combinatorics

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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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