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An active learning approach for radial basis function neural networks

This paper presents a new Active Learning algorithm to train Radial Basis Function (RBF) Artificial Neural Networks (ANN) for model reduction problems. The new approach is based on the assumption that the unobserved training data y at input x, lies within a set F x y f x y f x ( ) : ( ) ( ) = ! ! &q...

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書誌詳細
主要な著者:	Abdullah, S. S., Allwright, J. C.
フォーマット:	論文
言語:	English
出版事項:	Penerbit UTM Press 2006
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/id/eprint/4112/1/JTD_2005_29.pdf http://eprints.utm.my/id/eprint/4112/ http://www.penerbit.utm.my/onlinejournal/45/D/JTDis45D05.pdf
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