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

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...

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Main Author:	Tan, Lee Sen
Format:	Thesis
Language:	English
Published:	2022
Subjects:	QA1-939 Mathematics
Online Access:	http://eprints.usm.my/59747/1/Pages%20from%20TAN%20LEE%20SEN%20-%20TESIS.pdf
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id	my-usm-ep.59747
record_format	uketd_dc
spelling	my-usm-ep.597472024-01-22T02:14:19Z An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations 2022-10 Tan, Lee Sen QA1-939 Mathematics 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). 2022-10 Thesis http://eprints.usm.my/59747/ http://eprints.usm.my/59747/1/Pages%20from%20TAN%20LEE%20SEN%20-%20TESIS.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik ( School of Mathematical Sciences)
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1-939 Mathematics
spellingShingle	QA1-939 Mathematics Tan, Lee Sen An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations
description	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).
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Tan, Lee Sen
author_facet	Tan, Lee Sen
author_sort	Tan, Lee Sen
title	An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations
title_short	An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations
title_full	An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations
title_fullStr	An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations
title_full_unstemmed	An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations
title_sort	improved training method for wavelet neural networks for solving ordinary and partial differential equations
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik ( School of Mathematical Sciences)
publishDate	2022
url	http://eprints.usm.my/59747/1/Pages%20from%20TAN%20LEE%20SEN%20-%20TESIS.pdf
_version_	1794024047596535808

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

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