Improvement of Noise Tolerance in Fuzzy ART Using a Weighted Sum and a Fuzzy AND Operation
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概要
- 論文の詳細を見る
This paper presents a new learning method to improve noise tolerance in Fuzzy ART. The two weight vectors : the top-down weight vector and the bottom-up weight vector are differently updated by a weighted sum and a fuzzy AND operation. This method effectively resolves the category proliferation problem without increasing the training epochs in noisy environments.
- 社団法人電子情報通信学会の論文
- 1995-10-25
著者
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Lee C
Seoul Nat'l Univ. Seoul Kor
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Lee Chang
The Department of Electronics Engineering, Seoul National University
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Lee Sang
The Department of Electronics Engineering, Seoul National University
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Lee Choong
The Department of Electronics Engineering, Seoul National University
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Lee C
Dongyang Technical Coll. Seoul Kor
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Lee Choong
The Department Of Electronics Engineering Seoul National University
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Lee Sang
The Department Of Electronics Engineering Seoul National University
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