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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Κύριοι συγγραφείς:	Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Juan L.G. Guirao, Muhammad Shoaib
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2021-04-01
Σειρά:	Alexandria Engineering Journal
Θέματα:	Meyer wavelet kernels Neural networks Hybrid computing techniques Lane-Emden equation Singular systems Stochastic computing
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S1110016821000077
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