Neuro-evolution computing for nonlinear multi-singular system of third order Emden-Fowler equation

DOI10.1016/J.MATCOM.2021.02.004OpenAlexW3127406027MaRDI QIDQ2661452

Zulqurnain Sabir, Chaudry Masood Khalique, Canan Ünlü, Muhammad Asif Zahoor Raja

Publication date: 7 April 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2021.02.004

zbMATH Keywords

sequential quadratic programminggenetic algorithmsartificial neural networknumerical computingsystem of Emden-Fowler equationsmulti-singular systemsintegrated intelligent computing

Mathematics Subject Classification ID

Numerical analysis (65-XX) Computer science (68-XX)

Related Items (5)

Numerical investigations of the nonlinear smoke model using the Gudermannian neural networks ⋮ Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model ⋮ Dynamics of nonlinear cantilever piezoelectric-mechanical system: an intelligent computational approach ⋮ Swarming optimization to analyze the fractional derivatives and perturbation factors for the novel singular model ⋮ GUDERMANNIAN NEURAL NETWORKS TO INVESTIGATE THE LIÉNARD DIFFERENTIAL MODEL

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• A variational formulation approach to a generalized coupled inhomogeneous Emden–Fowler system
• Higher order numeric solutions of the Lane–Emden-type equations derived from the multi-stage modified Adomian decomposition method
• A new algorithm for solving differential equations of Lane-Emden type

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