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An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction

Although the practicability of using wavelet neural networks (WNNs) in nonlinear function approximation has been addressed extensively, selecting the optimal number of hidden nodes and their appropriate initial locations remains a great challenge for WNNs’ initialization. The cuckoo search algorithm...

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Main Authors: Pauline Ong, Pauline Ong, Zainuddin, Zarita
Format: Article
Language:English
Published: Elsevier 2023
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/9148/1/J15860_28b01933e0ffce86e1f06e1f75cc22f8.pdf
http://eprints.uthm.edu.my/9148/
https://doi.org/10.1016/j.dajour.2023.100188
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spelling my.uthm.eprints.91482023-07-17T07:24:45Z http://eprints.uthm.edu.my/9148/ An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction Pauline Ong, Pauline Ong Zainuddin, Zarita T Technology (General) Although the practicability of using wavelet neural networks (WNNs) in nonlinear function approximation has been addressed extensively, selecting the optimal number of hidden nodes and their appropriate initial locations remains a great challenge for WNNs’ initialization. The cuckoo search algorithm (CSA) is used in this study for optimizing WNNs. The position of the cuckoo eggs represents the translation of the wavelet hidden nodes, which are optimized based on the egg-laying and breeding strategy of cuckoos. The solutions from the CSA are assigned as initial translation vectors for the WNNs and subsequently evaluated on a few benchmarking functions and real-world applications. Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization. Elsevier 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/9148/1/J15860_28b01933e0ffce86e1f06e1f75cc22f8.pdf Pauline Ong, Pauline Ong and Zainuddin, Zarita (2023) An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction. Decision Analytics Journal, 6. pp. 1-12. https://doi.org/10.1016/j.dajour.2023.100188
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Pauline Ong, Pauline Ong
Zainuddin, Zarita
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
description Although the practicability of using wavelet neural networks (WNNs) in nonlinear function approximation has been addressed extensively, selecting the optimal number of hidden nodes and their appropriate initial locations remains a great challenge for WNNs’ initialization. The cuckoo search algorithm (CSA) is used in this study for optimizing WNNs. The position of the cuckoo eggs represents the translation of the wavelet hidden nodes, which are optimized based on the egg-laying and breeding strategy of cuckoos. The solutions from the CSA are assigned as initial translation vectors for the WNNs and subsequently evaluated on a few benchmarking functions and real-world applications. Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.
format Article
author Pauline Ong, Pauline Ong
Zainuddin, Zarita
author_facet Pauline Ong, Pauline Ong
Zainuddin, Zarita
author_sort Pauline Ong, Pauline Ong
title An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
title_short An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
title_full An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
title_fullStr An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
title_full_unstemmed An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
title_sort optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
publisher Elsevier
publishDate 2023
url http://eprints.uthm.edu.my/9148/1/J15860_28b01933e0ffce86e1f06e1f75cc22f8.pdf
http://eprints.uthm.edu.my/9148/
https://doi.org/10.1016/j.dajour.2023.100188
_version_ 1772813808807444480
score 13.211869

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