短時間平均エントロピー
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概要
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Dynamics of self-organization of binary patterns in a Hopfield model, a Boltzmann machine and a chaos neural network are investigated with the use of an ensemble average entropy and a short time average entropy. Time dependences of these entropies are calculated by numerical simulations when these models are solving traveling salesman problems. Decreasing of the entropies are observed in consequences of the self-organization at their initial time stages.
- 理論物理学刊行会の論文
- 1994-11-25
著者
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Kashima Masayuki
Department of Medicine, Okinawa Chubu Hospital
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Inoue Masayoshi
Department Of General Thoracic Surgery (l5) Osaka University Graduate School Of Medicine
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Kashima Masayuki
Department Of Physics Kagoshima University
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Inoue Masayoshi
Department Of Agriculture Kyoto Prefectural University
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