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...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| 格式: | Article |
| 語言: | English English |
| 出版: |
Multidisciplinary Digital Publishing Institute
2021
|
| 主題: | |
| 在線閱讀: | 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 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
成為第一個發表評論!