Self-Organization in a Spin Model of Chaos Neural Network
スポンサーリンク
概要
- 論文の詳細を見る
A self-organization model of the Ising spin system is studied in a chaos neural network. The time developments of energies and magnetizations of the spin system are calculated to characterize the dynamics of this model. It is seen that if the control parameters of the chaos neuron are chosen properly, the system can reach a stable pattern which corresponds to the global minimum.
- 理論物理学刊行会の論文
- 2000-04-28
著者
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INOUE Masayoshi
Department of Thoracic Surgery, Osaka University Graduate School of Medicine
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坂本 博康
Graduate School Of Material Science University Of Hyogo
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TANAKA Toshijiro
Department of Management and Information Sciences, Hiroshima Prefectural University
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Inoue Masataka
Osaka Dental Univ. Osaka Jpn
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FUJISAKA Hirokazu
Department of Physics,Kyushu University
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Inoue M
Department Of Physics Kagoshima University
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Fujisaka Hirokazu
Department Of Applied Analysis And Complex Dynamical Systems Graduate School Of Informatics Kyoto Un
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Inoue Masayoshi
Department Of General Thoracic Surgery (l5) Osaka University Graduate School Of Medicine
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Tanaka T
Hiroshima Prefectural Univ. Shobara
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Tanaka Toshijiro
Department Of Applied Physics Faculty Of Engineering Osaka University
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Inoue Masayoshi
Department Of Agriculture Kyoto Prefectural University
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TANAKA Toshijiro
Department of Information Science, Hiroshima Prefectural University
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FUJISAKA Hirokazu
Department of Applied Analysis and Complex Dynamical Systems' Graduate School of Informatics, Kyoto University
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