An optimized hybrid block technique framework for partial differential equations by exploring radial basis function neural networks

This article explores recent advances in integrating artificial neural networks (ANNs) with numerical methods, focusing on an optimized two-stage hybrid block method for solving complex partial differential equations (PDEs). The method combines ANNs with traditional solvers to improve computational...

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Principais autores:	Sabastine Emmanuel, Saratha Sathasivam, Muideen O. Ogunniran, Mustafa Bayram
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-09-01
coleção:	Franklin Open
Assuntos:	ANNs Hybrid block methods Numerical optimization Computational efficiency Partial differential equations
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2773186325001203
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