Artificial neural networks to solve the singular model with Neumann–Robin, Dirichlet and Neumann boundary conditions
The aim of this work is to solve the case study singular model involving the Neumann–Robin, Dirichlet, and Neumann boundary conditions using a novel computing framework that is based on the artificial neural network (ANN), global search genetic algorithm (GA), and local search sequential quadratic p...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | 論文 |
| 言語: | English English |
| 出版事項: |
Multidisciplinary Digital Publishing Institute
2021
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| 主題: | |
| オンライン･アクセス: | https://eprints.ums.edu.my/id/eprint/32589/1/Artificial%20neural%20networks%20to%20solve%20the%20singular%20model%20with%20neumann%E2%80%93robin%2C%20dirichlet%20and%20neumann%20boundary%20conditions%20%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32589/2/Artificial%20neural%20networks%20to%20solve%20the%20singular%20model%20with%20neumann%E2%80%93robin%2C%20dirichlet%20and%20neumann%20boundary%20conditions.pdf https://eprints.ums.edu.my/id/eprint/32589/ https://www.mdpi.com/1424-8220/21/19/6498/htm https://doi.org/10.3390/s21196498 |
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