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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Bibliographic Details
Main Authors: Zulqurnain Sabir, Atef F. Hashem, Adnène Arbi, Mohamed A. Abdelkawy
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/17/3792