A Dynamical N-Queen Problem Solver Using Hysteresis Neural Networks

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概要

• 論文の詳細を見る

• In a previous study about a combinatorial optimization problem solver using neural networks, since the Hopfield method, convergence to the optimum solution sooner and with more certainty is regarded as important. Namely, only static states are considered as the information. However, from a biological point of view, dynamical systems have attracted attention recently. Therefore, we propose a "dynamical" combinatorial optimization problem solver using hysteresis neural networks. In this paper, the proposed system is evaluated by the N-Queen problem.

• 社団法人電子情報通信学会の論文
• 2003-04-01

著者

• Yamamoto Takao

  Faculty Of Engineering Nippon Institute Of Technology

• HIROSE Haruo

  Faculty of Engineering, Nippon Institute of Technology

関連論文

• CHARACTERIZATION OF AMINOCEPHALOSPORIN TRANSPORT ACROSS RAT SMALL INTESTINE
• A Dynamical N-Queen Problem Solver Using Hysteresis Neural Networks

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