Entropy learning in neural network

In this paper, entropy term is used in the learning phase of a neural network. As learning progresses, more hidden nodes get into saturation. The early creation of such hidden nodes may impair generalisation. Hence entropy approach is proposed to dampen the early creation of such nodes. The entropy...

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書誌詳細
主要な著者: Geok, See Ng, Shi, Daming, Abdul Rahman, Abdul Wahab, Singh, H.
フォーマット: 論文
言語:English
出版事項: ASEAN Committee on Science and Technology 2003
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オンライン・アクセス:http://irep.iium.edu.my/38199/1/ENTROPY_LEARNING_IN_NEURAL_NETWORK.pdf
http://irep.iium.edu.my/38199/
http://astnet.asean.org/index.php?name=Main&file=content&cid=32
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