A highly accurate artificial neural networks scheme for solving higher multi‐order fractal‐fractional differential equations based on generalized Caputo derivative

Artificial neural networks have great potential for learning and stability in the face of tiny input data changes. As a result, artificial intelligence techniques and modeling tools have a growing variety of applications. To estimate a solution for fractal‐fractional differential equations (FFDEs) o...

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Veröffentlicht in:	International journal for numerical methods in engineering 2023-10, Vol.124 (19), p.4371-4404
Hauptverfasser:	Shloof, A. M., Ahmadian, A., Senu, N., Salahshour, Soheil, Ibrahim, S. N. I., Pakdaman, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence artificial neural network Artificial neural networks back‐propagation learning algorithm Differential equations Fractals Fractional calculus generalized Caputo fractal‐fractional derivative higher order fractal‐fractional differential equations Iterative methods Neural networks Power series Series expansion
Online-Zugang:	Volltext
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