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...
| 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 |