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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4606/1/AJ%202019%20%28290%29.pdf http://eprints.uthm.edu.my/4606/ https://doi.org/10.1016/j.asoc.2019.04.016 |
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| Institution: | Universiti Tun Hussein Onn Malaysia |
| Language: | English |