An Improved Wavelet Neural Network For Classification And Function Approximation

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An Improved Wavelet Neural Network For Classification And Function Approximation

Properly designing a wavelet neural network (WNN) is crucial for achieving the optimal generalization performance. In this thesis, two different approaches were proposed for improving the predictive capability of WNNs. First, the types of activation functions used in the hidden layer of the WNN were...

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Bibliographic Details
Main Author:	Ong , Pauline
Format:	Thesis
Language:	English
Published:	2011
Subjects:	QA1-939 Mathematics
Online Access:	http://eprints.usm.my/42264/ http://eprints.usm.my/42264/1/ONG_PAULINE.pdf

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