A novel numerical scheme for fractional differential equations using extreme learning machine
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Publication:6156469
DOI10.1016/J.PHYSA.2023.128887MaRDI QIDQ6156469
Pushpendra Kumar, V. Govindaraj, Sivalingam S M
Publication date: 13 June 2023
Published in: Physica A (Search for Journal in Brave)
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Cites Work
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- A numerical technique based on the shifted Legendre polynomials for solving the time-fractional coupled KdV equations
- Numerical solutions of fractional Riccati type differential equations by means of the Bernstein polynomials
- Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations
- A new operational matrix for solving fractional-order differential equations
- The fractional calculus. Theory and applications of differentiation and integration to arbitrary order
- Fractional differential equations. An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications
- On solutions of fractional Riccati differential equations
- Solving fractional differential equations of variable-order involving operators with Mittag-Leffler kernel using artificial neural networks
- A novel improved extreme learning machine algorithm in solving ordinary differential equations by Legendre neural network methods
- Reproducing kernel method for fractional Riccati differential equations
- A predictor-corrector approach for the numerical solution of fractional differential equations
- A non-gradient method for solving elliptic partial differential equations with deep neural networks
- Solving partial differential equation based on extreme learning machine
- Shifted ultraspherical pseudo-Galerkin method for approximating the solutions of some types of ordinary fractional problems
- Compatibility of the Paraskevopoulos's algorithm with operational matrices of Vieta-Lucas polynomials and applications
- HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations
- Numerical solution and bifurcation analysis of nonlinear partial differential equations with extreme learning machines
- Local extreme learning machines and domain decomposition for solving linear and nonlinear partial differential equations
- A novel Legendre operational matrix for distributed order fractional differential equations
- Direct and integrated radial functions based quasilinearization schemes for nonlinear fractional differential equations
- Legendre wavelet collocation method combined with the Gauss-Jacobi quadrature for solving fractional delay-type integro-differential equations
- First order partial differential equations with time delay and retardation of a state variable
- Using an enhanced homotopy perturbation method in fractional differential equations via deforming the linear part
- Modified homotopy perturbation method: Application to quadratic Riccati differential equation of fractional order
- An efficient operation matrix method for solving fractal-fractional differential equations with generalized Caputo-type fractional-fractal derivative
- Two‐dimensional shifted Legendre polynomial collocation method for electromagnetic waves in dielectric media via almost operational matrices
- A highly accurate numerical method for solving nonlinear time‐fractional differential difference equation
- Efficient Legendre spectral tau algorithm for solving the two-sided space–time Caputo fractional advection–dispersion equation
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