The Impact of Normalization Techniques on Performance Backpropagation Networks

The Impact of Normalization Techniques on Performance Backpropagation Networks

Neural networks (NN) are computational models with the capacity to learn, generalize and the most used are multi- layer perceptrons (MLP). Building successful NN applications depends on several aspects such as the process of acquiring, modeling and selecting the appropriate model. The data needs t...

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書目詳細資料
主要作者:	Norlida, Hassan
格式:	Thesis
語言:	eng eng
出版:	2004
主題:	QA76 Computer software
在線閱讀:	https://etd.uum.edu.my/1394/1/NORLIDA_BT._HASSAN.pdf https://etd.uum.edu.my/1394/2/1.NORLIDA_BT._HASSAN.pdf
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