Presentation 1999/9/21
A Four Color Problem Solver using a discontinuous time Neural Network.
Takao Yamamoto, Kenya Jin'no, Haruo Hirose,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This article considers the Four Color Problem solver using a neural network. There is a combinatorial optimization problems solver with a neural network proposed by Tank and Hopfield. This network has monodecreasing energy function correspond a minimum of cost function. This network can find solution of the problems in a few cases, because local minimums exist in energy function. In this article, we propose a network without such energy function and local minimum. And this system guarantees a fixed point corresponds to a minimum of cost function.
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Keyword(in English) Neural Networks / Combinatorial Optimization Problems / Energy / Local minimum / Four Color Problem
Paper # NLP99-83
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Conference Information
Committee NLP
Conference Date 1999/9/21(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Four Color Problem Solver using a discontinuous time Neural Network.
Sub Title (in English)
Keyword(1) Neural Networks
Keyword(2) Combinatorial Optimization Problems
Keyword(3) Energy
Keyword(4) Local minimum
Keyword(5) Four Color Problem
1st Author's Name Takao Yamamoto
1st Author's Affiliation Nippon Institute of Technology()
2nd Author's Name Kenya Jin'no
2nd Author's Affiliation Nippon Institute of Technology
3rd Author's Name Haruo Hirose
3rd Author's Affiliation Nippon Institute of Technology
Date 1999/9/21
Paper # NLP99-83
Volume (vol) vol.99
Number (no) 323
Page pp.pp.-
#Pages 6
Date of Issue