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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Detalhes bibliográficos
Principais autores: Ong, Pauline, Zainuddin, Zarita
Formato: Artigo
Idioma:English
Publicado em: Elsevier 2019
Assuntos:
Acesso em linha:http://eprints.uthm.edu.my/4606/1/AJ%202019%20%28290%29.pdf