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The implementation of "A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression" paper

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Implementation of LS-SVR for solving Integral Equations

This repository contains the implementation of the method which is presented in the following paper:

A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression

It extends a powerful machine learning method known as least squares support vector regression (LS-SVR) to solve Fredholm integral equations. In this repository, we implemented the algorithm in the Maple software.

Notes

  • The repository may be updated in the future.
  • Please open an issue if you found any bugs.

Cite

Please cite us as:

K. Parand, , A.A. Aghaei, M. Jani, and A. Ghodsi. "A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression".Mathematics and Computers in Simulation 180 (2021): 114 - 128.

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The implementation of "A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression" paper

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