書誌事項
- タイトル別名
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- Remarks on an Immune-Feedback-Based Learning of Neural Networks
- ニューラル ネットワーク ノ メンエキ セイギョガタ ガクシュウ ニ カンスル イチ コウサツ
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抄録
As an engineering application of a biological immune system, an immune feedback control law featuring rapid response to foreign materials and quick stabilization of the immune system is applied to controlling the learning of multi-layer neural networks. Applying the immune feedback control law to the generalized δ-rule, the immune-feedback-based learning rule is derived. The stability condition of the proposed learning rule for the 2-layer neural networks is analytically described. To investigate the feasibility of the proposed learning rule to the multi-layer neural networks, simulation studies of identifying nonlinear functions using the 4-layer neural networks and the sandglass-type neural networks are carried out. Simulation results show both the effectiveness and characteristics of the immune feedback-based learning rule.
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) 119 (8-9), 935-941, 1999
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
- 1390001204611715968
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- NII論文ID
- 130006846023
- 10004630099
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 4816283
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- NDL
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