Neuro-swarm computational heuristic for solving a nonlinear second-order coupled Emden–Fowler model

نویسندگان

چکیده

Abstract The aim of the current study is to present numerical solutions a nonlinear second-order coupled Emden–Fowler equation by developing neuro-swarming-based computing intelligent solver. feedforward artificial neural networks (ANNs) are used for modelling, and optimization carried out local/global search competences particle swarm (PSO) aided with capability interior-point method (IPM), i.e., ANNs-PSO-IPM. In ANNs-PSO-IPM, mean square error-based objective function designed (EF) equations then optimized using combination PSO-IPM. inspiration ANNs-PSO-IPM comes motive depict viable, detailed consistent framework tackle such stiff/nonlinear EF system. ANNs-PSO-IP scheme verified different examples nonlinear-coupled equations. achieved outcomes single as well multiple trials incorporated validate reliability, viability accuracy.

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ژورنال

عنوان ژورنال: Soft Computing

سال: 2022

ISSN: ['1433-7479', '1432-7643']

DOI: https://doi.org/10.1007/s00500-022-07359-3