Modified wavelet neural network in function approximation and its application in prediction of time-series pollution data

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Modified wavelet neural network in function approximation and its application in prediction of time-series pollution data

Properly designing a wavelet neural network (WNN) is crucial for achieving the optimal generalization performance. In this paper, in order to improve the predictive capability of WNNs, the types of activation functions used in the hidden layer of the WNN were varied. The modified WNNs were then appl...

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Bibliographic Details
Main Authors:	Zainuddin, Zarita, Pauline, Ong
Format:	Article
Language:	English
Published:	Elsevier 2011
Subjects:	TK7800-8360 Electronics
Online Access:	http://eprints.uthm.edu.my/4220/ http://eprints.uthm.edu.my/4220/1/AJ%202017%20%28582%29.pdf

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