Pages that link to "Item:Q1998260"
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The following pages link to A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression (Q1998260):
Displaying 12 items.
- Chelyshkov least squares support vector regression for nonlinear stochastic differential equations by variable fractional Brownian motion (Q2111297) (← links)
- Numerical learning approximation of time-fractional sub diffusion model on a semi-infinite domain (Q2128251) (← links)
- The best approximate solution of Fredholm integral equations of the first kind via Gaussian process regression (Q2161466) (← links)
- Least squares support vector regression for differential equations on unbounded domains (Q2162261) (← links)
- Performance of Genocchi wavelet neural networks and least squares support vector regression for solving different kinds of differential equations (Q2695657) (← links)
- Support vector regression for the solution of linear integral equations (Q3014967) (← links)
- Numerical solution of nonlinear stochastic differential equations with fractional Brownian motion using fractional-order Genocchi deep neural networks (Q6058729) (← links)
- A novel approach for solving linear Fredholm integro-differential equations via LS-SVM algorithm (Q6130113) (← links)
- Bernoulli wavelet least squares support vector regression: Robust numerical method for systems of fractional differential equations (Q6193057) (← links)
- Numerical solutions to one dimensional linear Volterra-Fredholm integral equations based on LS-SVM model (Q6581979) (← links)
- Solving partial differential equations by LS-SVM (Q6606433) (← links)
- Solving integral equations by LS-SVR (Q6606435) (← links)
