Designing the sinc neural networks to solve the fractional optimal control problem

Sinc numerical methods are essential approaches for solving nonlinear problems. In this work, based on this method, the sinc neural networks (SNNs) are designed and applied to solve the fractional optimal control problem (FOCP) in the sense of the Riemann–Liouville (RL) derivative. To solve the FOCP...

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Bibliographic Details
Main Authors: R. Heydari Dastjerdi, G. Ahmadi
Format: Article
Language:English
Published: Ferdowsi University of Mashhad 2024-12-01
Series:Iranian Journal of Numerical Analysis and Optimization
Subjects:
Online Access:https://ijnao.um.ac.ir/article_45196_621d8d6516c4ea0aff9c8a92689768ed.pdf
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