Designing a Bayesian Regularization Approach to Solve the Fractional Layla and Majnun System
The present work provides the numerical solutions of the mathematical model based on the fractional-order Layla and Majnun model (MFLMM). A soft computing stochastic-based Bayesian regularization neural network approach (BRNNA) is provided to investigate the numerical accomplishments of the MFLMM. T...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2023-09-01
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| Seria: | Mathematics |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2227-7390/11/17/3792 |
| Etykiety: |
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