A new efficient algorithm based on feedforward neural network for solving differential equations of fractional order

DOI10.1016/j.cnsns.2022.106968OpenAlexW4307211009WikidataQ115358516 ScholiaQ115358516MaRDI QIDQ2108722

Ali Ahmadian, Mohd Rashid Admon, Norazak Senu, Soheil Salahshour, Zanariah Abdul Majid

Publication date: 20 December 2022

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2022.106968

zbMATH Keywords

automatic differentiationartificial neural networkfeedforward neural networkvectorized algorithmfirst-order optimization techniques

Mathematics Subject Classification ID

Numerical methods for ordinary differential equations (65Lxx) Functions of one variable (26Axx) General theory for ordinary differential equations (34Axx)

Related Items (1)

Conservation laws for systems of non-standard Birkhoffians with fractional derivatives

Uses Software

• DiffSharp

Cites Work

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