Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction

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Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction

Determining the optimal number of hidden nodes and their proper initial locations are essentially crucial before the wavelet neural networks (WNNs) start their learning process. In this paper, a novel strategy known as the modified cuckoo search algorithm (MCSA), is proposed for WNNs initialization...

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Bibliographic Details
Main Authors:	Ong, Pauline, Zainuddin, Zarita
Format:	Article
Language:	English
Published:	Elsevier 2019
Subjects:	QA273-280 Probabilities. Mathematical statistics
Online Access:	http://eprints.uthm.edu.my/4606/ http://eprints.uthm.edu.my/4606/1/AJ%202019%20%28290%29.pdf

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