Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training
In this study, a machine learning approach based on the unsupervised version of wavelet neural networks (WNNs) is used to solve two-dimensional elliptic partial differential equations (PDEs). The design of the WNNs must be judiciously addressed, particularly, the adopted training algorithm, since it...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020
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Subjects: | |
Online Access: | http://eprints.uthm.edu.my/6650/1/AJ%202020%20%28411%29.pdf http://eprints.uthm.edu.my/6650/ https://doi.org/10.1016/j.asoc.2020.106518 |
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