Novel Neural Network Based on New Modification of BFGS Update Algorithm for Solving Partial Differential Equations
In this article, an effective neural network is created using unconstrained optimization the brand-new BFGS training algorithm. The fourth order nonlinear partial differential equation is mathematically modeled with feed-forward artificial neural network with some adaptive parameters. The network is...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
ATNAA
2024-01-01
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| Series: | Advances in the Theory of Nonlinear Analysis and its Applications |
| Subjects: | |
| Online Access: | https://atnaea.org/index.php/journal/article/view/284/242 |