Novel intelligent computing knacks for fuzzy dynamical model of vibrating mass system

Author:

Asghar Mahmoona1,Ahmad Iftikhar1,Ilyas Hira1,Naz Shafaq1,ul Basat Najam1,Raja Muhammad Asif Zahoor2ORCID

Affiliation:

1. Department of Mathematics, University of Gujrat, Gujrat 50700, Pakistan

2. Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan

Abstract

This study is designed to analyze the fuzzy dynamical model of vibrating mass system by using neural networks (NNs). Stochastic numerical solvers are implemented with Levenberg–Marquardt backpropagation (LMB) algorithm. The proposed solvers handle the uncertainties of fuzzy differential system and minimize the error consistently. Validation, constancy and verification of NNs with LMB algorithm are endorsed by attaining reasonable accuracy through statistical measures in terms of error histograms, regression and mean squared errors for different values of fuzzy parameters.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

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