The Numerical Solution of Nonlinear Fractional Lienard and Duffing Equations Using Orthogonal Perceptron

This paper proposes an approximation algorithm based on the Legendre and Chebyshev artificial neural network to explore the approximate solution of fractional Lienard and Duffing equations with a Caputo fractional derivative. These equations show the oscillating circuit and generalize the spring–mas...

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Main Authors: Akanksha Verma, Wojciech Sumelka, Pramod Kumar Yadav
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/15/9/1753
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author Akanksha Verma
Wojciech Sumelka
Pramod Kumar Yadav
author_facet Akanksha Verma
Wojciech Sumelka
Pramod Kumar Yadav
author_sort Akanksha Verma
collection DOAJ
description This paper proposes an approximation algorithm based on the Legendre and Chebyshev artificial neural network to explore the approximate solution of fractional Lienard and Duffing equations with a Caputo fractional derivative. These equations show the oscillating circuit and generalize the spring–mass device equation. The proposed approach transforms the given nonlinear fractional differential equation (FDE) into an unconstrained minimization problem. The simulated annealing (SA) algorithm minimizes the mean square error. The proposed techniques examine various non-integer order problems to verify the theoretical results. The numerical results show that the proposed approach yields better results than existing methods.
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spelling doaj.art-2af5447bd7964f62946fd8e5ef743a2c2023-11-19T13:12:11ZengMDPI AGSymmetry2073-89942023-09-01159175310.3390/sym15091753The Numerical Solution of Nonlinear Fractional Lienard and Duffing Equations Using Orthogonal PerceptronAkanksha Verma0Wojciech Sumelka1Pramod Kumar Yadav2Department of Mathematics, Dyal Singh College, University of Delhi, New Delhi 110003, IndiaInstitute of Structural Analysis, Poznan University of Technology, Piotrowo 5 Street, 60-965 Poznan, PolandDepartment of Mathematics, Motilal Nehru National Institute of Technology Allahabad, Prayagraj 211004, IndiaThis paper proposes an approximation algorithm based on the Legendre and Chebyshev artificial neural network to explore the approximate solution of fractional Lienard and Duffing equations with a Caputo fractional derivative. These equations show the oscillating circuit and generalize the spring–mass device equation. The proposed approach transforms the given nonlinear fractional differential equation (FDE) into an unconstrained minimization problem. The simulated annealing (SA) algorithm minimizes the mean square error. The proposed techniques examine various non-integer order problems to verify the theoretical results. The numerical results show that the proposed approach yields better results than existing methods.https://www.mdpi.com/2073-8994/15/9/1753orthogonal neural networksimulated annealing optimization techniquefractional differential equationsCaputo derivative
spellingShingle Akanksha Verma
Wojciech Sumelka
Pramod Kumar Yadav
The Numerical Solution of Nonlinear Fractional Lienard and Duffing Equations Using Orthogonal Perceptron
Symmetry
orthogonal neural network
simulated annealing optimization technique
fractional differential equations
Caputo derivative
title The Numerical Solution of Nonlinear Fractional Lienard and Duffing Equations Using Orthogonal Perceptron
title_full The Numerical Solution of Nonlinear Fractional Lienard and Duffing Equations Using Orthogonal Perceptron
title_fullStr The Numerical Solution of Nonlinear Fractional Lienard and Duffing Equations Using Orthogonal Perceptron
title_full_unstemmed The Numerical Solution of Nonlinear Fractional Lienard and Duffing Equations Using Orthogonal Perceptron
title_short The Numerical Solution of Nonlinear Fractional Lienard and Duffing Equations Using Orthogonal Perceptron
title_sort numerical solution of nonlinear fractional lienard and duffing equations using orthogonal perceptron
topic orthogonal neural network
simulated annealing optimization technique
fractional differential equations
Caputo derivative
url https://www.mdpi.com/2073-8994/15/9/1753
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