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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| Format: | Thesis |
| Language: | English |
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2022
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| Online Access: | http://eprints.usm.my/59747/ |
| Abstract | Abstract here |
| _version_ | 1855630317850722304 |
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| author | Tan, Lee Sen |
| author_facet | Tan, Lee Sen |
| author_sort | Tan, Lee Sen |
| 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). |
| first_indexed | 2025-10-17T08:47:05Z |
| format | Thesis |
| id | usm-59747 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2025-10-17T08:47:05Z |
| publishDate | 2022 |
| record_format | EPrints |
| record_pdf | Restricted |
| spelling | usm-597472024-01-22T02:14:19Z http://eprints.usm.my/59747/ An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations 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 NonPeerReviewed application/pdf en http://eprints.usm.my/59747/1/Pages%20from%20TAN%20LEE%20SEN%20-%20TESIS.pdf Tan, Lee Sen (2022) An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | QA1-939 Mathematics Tan, Lee Sen An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations |
| thesis_level | PhD |
| title | 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_short | 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 |
| topic | QA1-939 Mathematics |
| url | http://eprints.usm.my/59747/ |
| work_keys_str_mv | AT tanleesen animprovedtrainingmethodforwaveletneuralnetworksforsolvingordinaryandpartialdifferentialequations AT tanleesen improvedtrainingmethodforwaveletneuralnetworksforsolvingordinaryandpartialdifferentialequations |