An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations

Tan, Lee Sen (2022) An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations. PhD thesis, Universiti Sains Malaysia.

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Abstract

Differential equations (DEs) have been widely used for modelling countless studies and applications in various disciplines. In recent years, artificial neural networks (ANNs) have gained attention in solving DEs in a more efficient way to approximate solutions of DEs. In this thesis, wavelet neural networks (WNNs) were employed and programmed to solve ordinary differential equations (ODEs) and partial differential equations (PDEs).

Item Type:	Thesis (PhD)
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics
Divisions:	Pusat Pengajian Sains Matematik (School of Mathematical Sciences) > Thesis
Depositing User:	Mr Aizat Asmawi Abdul Rahim
Date Deposited:	22 Jan 2024 02:14
Last Modified:	22 Jan 2024 02:14
URI:	http://eprints.usm.my/id/eprint/59747

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