Pages that link to "Item:Q1667791"
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The following pages link to Utilizing feed-back neural network approach for solving linear Fredholm integral equations system (Q1667791):
Displaying 14 items.
- Numerical solution of linear integral equations system using the Bernstein collocation method (Q1648724) (← links)
- An iterative scheme for solving systems of nonlinear Fredholm integrodifferential equations (Q1724038) (← links)
- A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression (Q1998260) (← links)
- Approximating the solution of three-dimensional nonlinear Fredholm integral equations (Q2029655) (← links)
- Numerical simulation of Volterra-Fredholm integral equations using least squares support vector regression (Q2052276) (← links)
- New approach to solve two-dimensional Fredholm integral equations (Q2423528) (← links)
- Numerical solution of a Fredholm integro-differential equation modelling \(\dot \theta\)-neural networks (Q2470159) (← links)
- Utilizing artificial neural network approach for solving two-dimensional integral equations (Q2512865) (← links)
- Study on convergence and error of a numerical method for solving systems of nonlinear Fredholm–Volterra integral equations of Hammerstein type (Q2968002) (← links)
- (Q3189398) (← links)
- Laguerre method for solving linear system of Fredholm integral equations (Q5033408) (← links)
- On the numerical scheme for solving non-linear two-dimensional Hammerstein integral equations (Q5884061) (← links)
- Numerical solutions to one dimensional linear Volterra-Fredholm integral equations based on LS-SVM model (Q6581979) (← links)
- Machine learning for nonlinear integro-differential equations with degenerate kernel scheme (Q6591000) (← links)
