Presentation 2003/7/7
Control of Chaotic Neural Networks for Optimisation Problems Using Reinforcement Learning
Norihisa SATO, Masaharu ADACHI, Makoto KOTANI,
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Abstract(in English) We attempt to control chaotic neural networks for optimization problems from a periodic state to non-periodic states that include solutions. In this report, a chaotic neural network to solve a five-cities travelling salesman problem (TSP) is controlled with the reinforcement learning. In the reinforcement learning for the control, the reward for a control action is given by evaluating the energy decreasing and the firing rate of the network. Even with such a simple reinforcement learning, the control makes the network to show the states that include the solutions of the TSP, however it fails to obtain the optimal solution with the above simple criterion for the reinforcement learning.
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Keyword(in English) reinforcement lerning / chaotic neural networks / optimisation problems
Paper # NLP2003-42
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Committee NLP
Conference Date 2003/7/7(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Control of Chaotic Neural Networks for Optimisation Problems Using Reinforcement Learning
Sub Title (in English)
Keyword(1) reinforcement lerning
Keyword(2) chaotic neural networks
Keyword(3) optimisation problems
1st Author's Name Norihisa SATO
1st Author's Affiliation Department of Electronic Engineering,Graduate School of Engineering, Tokyo Denki University()
2nd Author's Name Masaharu ADACHI
2nd Author's Affiliation Department of Electronic Engineering,Graduate School of Engineering, Tokyo Denki University
3rd Author's Name Makoto KOTANI
3rd Author's Affiliation Department of Electronic Engineering,Graduate School of Engineering, Tokyo Denki University
Date 2003/7/7
Paper # NLP2003-42
Volume (vol) vol.103
Number (no) 185
Page pp.pp.-
#Pages 4
Date of Issue