Sabir, Zulqarnain and Ali, Mohamed R and Fathurrochman, Irwan and Raja, Muhammad Asif Zahoor and Sadat, R (2022) Dynamics of multi‑point singular ffth‑order Lane–Emden system with neuro‑evolution heuristics. Springer Evolving Systems An Interdisciplinary Journal for Advanced Science and Technology.

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Abstract

The objective of the presented communication is to examine and analyze the solutions of nonlinear multi-singular ffth-order Lane–Emden (LE) system for diferent scenarios by variation of shape factors settled on the equivalent design of the LEequations. The neuro-evolution based stochastic computing is explored for the numerical measures using the artifcial neural networks (ANNs) models for the appropriate continuous mapping, while the learning of decision variables is conducted using the integrated meta-heuristic global search of genetic algorithms (GA) hybrid with the local search efciency of active-set (AS) i.e., ANN-GA-AS scheme. The numerical approach ANN-GA-AS is applied efciently for the ffth kind of nonlinear LE model and statistical calculations further validate the accuracy, robustness as well as convergence

Item Type:	Article
Creators:	Creators Email Sabir, Zulqarnain UNSPECIFIED Ali, Mohamed R UNSPECIFIED Fathurrochman, Irwan irwan@iaincurup.ac.id Raja, Muhammad Asif Zahoor UNSPECIFIED Sadat, R UNSPECIFIED
Subjects:	H Social Sciences > H Social Sciences (General)
Divisions:	Fakultas Tarbiyah > Manajemen Pendidikan Islam
Depositing User:	Mrs Maisona Maisona
Date Deposited:	03 Mar 2022 10:29
Last Modified:	03 Mar 2022 10:29
URI:	http://repository.iaincurup.ac.id/id/eprint/677

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