A New Approach to Least Squares Support Vector Regression Using the Legendre Operational Matrix for Solving Fractional Fredholm Integro-Differential Equations
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引用次数: 0
Abstract
In this study, a novel hybrid technique is introduced to address linear and nonlinear fractional Fredholm integro-differential equations (FFIDEs) by utilizing least squares support vector regression (LS-SVR) along with the Legendre operational matrix of fractional derivatives (OMFD). The unknown function is represented as a linear combination of shifted Legendre polynomials. Also, the Galerkin and collocation spectral methods are used. We then formulate an optimization problem and convert it into a set of algebraic equations. To address a linear FFIDE, we introduced a matrix representation of the dual problem and demonstrated the resulting linear systems. Also, a discussion on error estimates is included. Finally, to demonstrate the validity and applicability of the suggested methods, some test examples are presented.
期刊介绍:
Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome.
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