Efficient solutions to time-fractional telegraph equations with Chebyshev neural networks

This study aims to employ artificial neural networks (ANNs) as a novel method for solving time fractional telegraph equations (TFTEs), which are typically addressed using the Caputo fractional derivative in scientific investigations. By integrating Chebyshev polynomials as a substitute for the tradi...

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Bibliographic Details
Main Authors:	Ali, Amina Hassan, Senu, Norazak, Ahmadian, Ali
Format:	Article
Language:	English
Published:	Institute of Physics 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/114374/1/114374.pdf http://psasir.upm.edu.my/id/eprint/114374/ https://iopscience.iop.org/article/10.1088/1402-4896/ad7c93
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