Design of wavelet neural networks based on symmetry fuzzy C-means for function approximation

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Design of wavelet neural networks based on symmetry fuzzy C-means for function approximation

Specifying the number and locations of the translation vectors for wavelet neural networks (WNNs) is of paramount significance as the quality of approximation may be drastically reduced if initialization of WNNs parameters was not done judiciously. In this paper, an enhanced fuzzy C-means algorithm,...

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Bibliographic Details
Main Authors:	Zainuddin, Zarita, Pauline, Ong
Format:	Article
Language:	English
Published:	Springer Verlag 2013
Subjects:	QA299.6-433 Analysis
Online Access:	http://eprints.uthm.edu.my/4209/ http://eprints.uthm.edu.my/4209/1/AJ%202017%20%28580%29.pdf

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