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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Autors principals:	Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Juan L.G. Guirao, Muhammad Shoaib
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2021-04-01
Col·lecció:	Alexandria Engineering Journal
Matèries:	Meyer wavelet kernels Neural networks Hybrid computing techniques Lane-Emden equation Singular systems Stochastic computing
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S1110016821000077
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