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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發表在:	Mathematics
Main Authors:	Zulqurnain Sabir, Atef F. Hashem, Adnène Arbi, Mohamed A. Abdelkawy
格式:	Article
語言:	英语
出版:	MDPI AG 2023-09-01
主題:	Layla and Majnun fractional neural networks Bayesian regularization approach numerical solutions
在線閱讀:	https://www.mdpi.com/2227-7390/11/17/3792