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Dynamics of multi-point singular fifth-order Lane–Emden system with neuro-evolution heuristics

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dc.contributor.author Sabir, Zulqurnain
dc.contributor.author Ali, Mohamed R.
dc.contributor.author Fathurrochman, Irwan
dc.contributor.author Raja, Muhammad Asif Zahoor
dc.contributor.author Sadat, R.
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2024-03-12T13:25:10Z
dc.date.available 2024-03-12T13:25:10Z
dc.date.issued 2022-12
dc.identifier.citation Sabir, Zulqurnain;...et.al. (2022). "Dynamics of multi-point singular fifth-order Lane–Emden system with neuro-evolution heuristics", Evolving Systems, Vol.13, No.6, pp.795-806. tr_TR
dc.identifier.issn 18686478
dc.identifier.uri http://hdl.handle.net/20.500.12416/7554
dc.description.abstract The objective of the presented communication is to examine and analyze the solutions of nonlinear multi-singular fifth-order Lane–Emden (LE) system for different scenarios by variation of shape factors settled on the equivalent design of the LE equations. The neuro-evolution based stochastic computing is explored for the numerical measures using the artificial 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 efficiency of active-set (AS) i.e., ANN-GA-AS scheme. The numerical approach ANN-GA-AS is applied efficiently for the fifth kind of nonlinear LE model and statistical calculations further validate the accuracy, robustness as well as convergence. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1007/s12530-021-09413-1 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Active-Set Method tr_TR
dc.subject Artificial Neural Networks tr_TR
dc.subject Statistical Assessments tr_TR
dc.subject Genetic Algorithms tr_TR
dc.subject Lane–Emden System tr_TR
dc.subject Numerical Computing tr_TR
dc.subject Singular Systems tr_TR
dc.title Dynamics of multi-point singular fifth-order Lane–Emden system with neuro-evolution heuristics tr_TR
dc.type article tr_TR
dc.relation.journal Evolving Systems tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 13 tr_TR
dc.identifier.issue 6 tr_TR
dc.identifier.startpage 795 tr_TR
dc.identifier.endpage 806 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen-Edebiyat Fakültesi, Matematik Bölümü tr_TR


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