Novel Neural Network Based on New Modification of BFGS Update Algorithm for Solving Partial Differential Equations

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...

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Bibliographic Details
Main Authors: Muna H. Ali, Luma N. M. Tawfiq
Format: Article
Language:English
Published: ATNAA 2024-01-01
Series:Advances in the Theory of Nonlinear Analysis and its Applications
Subjects:
partial differential equation
neural networks
bp-training algorithm
unconstrained optimization
bfgs training algorithm
Online Access:https://atnaea.org/index.php/journal/article/view/284/242

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