A novel design of fractional Meyer wavelet neural networks with application to the nonlinear singular fractional Lane-Emden systems

A novel design of fractional Meyer wavelet neural networks with application to the nonlinear singular fractional Lane-Emden systems

In this study, a novel stochastic computational frameworks based on fractional Meyer wavelet artificial neural network (FMW-ANN) is designed for nonlinear-singular fractional Lane-Emden (NS-FLE) differential equation. The modeling strength of FMW-ANN is used to transformed the differential NS-FLE sy...

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Bibliographic Details
Main Authors: Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Juan L.G. Guirao, Muhammad Shoaib
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Alexandria Engineering Journal
Subjects:
Meyer wavelet kernels
Neural networks
Hybrid computing techniques
Lane-Emden equation
Singular systems
Stochastic computing
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016821000077

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