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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Physics
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/114374/1/114374.pdf |