書誌事項
- タイトル別名
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- Self-organization in Probabilistic Neural Networks
- カクリツテキ ニューラル ネットワーク ニ オケル ジコ ソシキカ
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Stuart Kauffman explored the law of self-organization in random Boolean networks, and Kosaku Inagaki also did it in neural networks partially. The aim of this paper is to show that probabilistic neural networks (PNNs), which are recurrent networks and are controlled by a probabilistic transision rule based on Boltzh-mann machine, hold the order, even though we determine the weights, the thresholds, and the connections between neurons randomly. And, we also studied the deterministic transient neural networks which are the special networks of PNNs.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 121 (1), 187-195, 2001
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390282679586868096
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- NII論文ID
- 130006845344
- 10005317109
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 5620899
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- データソース種別
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- JaLC
- NDL
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