Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training

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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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Bibliographic Details
Main Authors:	Lee, Sen Tan, Zainuddin, Zarita, Ong, Pauline
Format:	Article
Language:	English
Published:	Elsevier 2020
Subjects:	TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Online Access:	http://eprints.uthm.edu.my/6650/ http://eprints.uthm.edu.my/6650/1/AJ%202020%20%28411%29.pdf

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