Hysteresis Neural Networks for N-Queens Problems (Special Section on Nonlinear Theory and Its Applications)

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概要

• 論文の詳細を見る

• We propose a hysteresis neural network system solving NP-Hard optimization problems, the N-Queens Problem. The continuous system with binary outputs searches a solution of the problem without energy function. The output vector corresponds to a complete solution when the output vector becomes stable. That is, this system does never become stable without satisfying the constraints of the problem. Though it is very hard to remove limit cycle completely from this system, we can propose a new method to reduce the possibility of limit cycle by controlling time constants.

• 社団法人電子情報通信学会の論文
• 1999-09-25

著者

• TANAKA Mamoru

  Department of Electrical and Electronics Engineering, Sophia University

• Jinno K

  Nippon Inst. Technol. Saitama‐ken Jpn

• Nakaguchi Toshiya

  The Department Of Electrical And Electronics Engineering Sophia University

• Tanaka M

  Graduate School Of Science And Engineering Yamaguchi University

• Nakaguchi Toshiya

  Department Of Information And Image Science Faculty Of Engineering ; Chiba University

• Tanaka Mamoru

  Department Of Electrical And Electronics Engineering Sophia University

• Tanaka Mamoru

  Department Of Applied Chemistry Kobe City College Of Technology

• Nakaguchi Toshiya

  Chiba Univ. Chiba Jpn

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