A Computational Study of the Fractal–FractionalBenney Equation Using the Laplace–Adomian Methodand Neural Network Validation
DOI:
https://doi.org/10.29020/nybg.ejpam.v19i2.6800Keywords:
Fractal-Fractional; Qualitative analysis; Laplace transform; Series solution; Neural network validation.Abstract
In this research, the nonlinear Benney equation (BE) is examined in a fractal-fractional (FF) context with a power-law derivative. Qualitative and quantitative approaches are investigated. To study the qualitative aspects, the theory of functional analysis is used, and the Laplace Adomian decomposition method (LADM) is used to obtain an approximate analytical solution. The validity of the method is demonstrated in two numerical examples. The robustness and accuracy of the results obtained with LADM are further checked by employing a neural network (NN) approach with the Levenberg–Marquardt (LM) algorithm, complemented by regression statistics and error distribution. The suggested hybrid approach shows an outstanding correlation between analytic and predicted solutions and brings forth the effect of fractional and fractal parameters on the transmission of nonlinear dispersive waves. The research advances hybrid mathematical
and computational methods for modelling memory-dependent and self-similar processes and has potential applications in fluid dynamics, nonlinear optics, and the investigation of complex systems.
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Copyright (c) 2026 Sadique Ahmad, Israr Ahmad, Zeeshan Ali, Fady Hasan, Nabil Mlaiki

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