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...
| الحاوية / القاعدة: | Iranian Journal of Numerical Analysis and Optimization |
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| المؤلفون الرئيسيون: | , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Ferdowsi University of Mashhad
2024-12-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ijnao.um.ac.ir/article_45196_621d8d6516c4ea0aff9c8a92689768ed.pdf |
