書誌事項
- タイトル別名
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- A Reasoning and Learning Method for Fuzzy Rules with Associative Memory
- レンソウ キオク ニ ヨル ファジールール ノ スイロン ガクシュウ ホウシキ
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抄録
In this paper, a reasoning and learning method of fuzzy rules, which employs associative memories, is presented. Fuzzy rules are described by neural networks, such that a proposition and an IF-THEN relation in rules are stored in a layered neural network, and a bidirectional connected neural network implemented in an associative memory, respectively. Fuzzy reasoning is performed by the dynamical changes in the associative memory. A learning functions is provided to add and correct fuzzy rules. An application of this method to a performance estimation for elevator group control systems is reported.
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) 110 (3), 207-215, 1990
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
- 1390001204607258496
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- NII論文ID
- 130006843195
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 3647487
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可