An adaptive algorithm for numerically solving fractional partial differential equations using Hermite wavelet artificial neural networks

An adaptive algorithm for numerically solving fractional partial differential equations using Hermite wavelet artificial neural networks

This study aims to develop a new strategy for solving partial differential equations with fractional derivatives (FPDEs) using artificial neural networks (ANNs). Numerical solutions to FPDEs are obtained through the Hermite wavelet neural network (HWNN) model. The Caputo fractional derivative is con...

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Bibliographic Details
Main Authors: Ali, Amina, Senu, Norazak, Wahi, Nadihah, Almakayeel, Naif, Ahmadian, Ali
Format: Article
Language:English
Published: Elsevier 2024
Online Access:http://psasir.upm.edu.my/id/eprint/116395/
http://psasir.upm.edu.my/id/eprint/116395/1/116395%20v2.pdf

Internet

http://psasir.upm.edu.my/id/eprint/116395/
http://psasir.upm.edu.my/id/eprint/116395/1/116395%20v2.pdf

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