Approximation of solutions of integral equations by networks with kernel units is investigated theoretically. There are derived upper bounds on speed of decrease of errors in approximation of solutions of Fredholm integral equations by kernel networks with increasing numbers of units. The estimates are obtained for Gaussian and degenerate kernels
Part 3: Artificial Neural NetworksInternational audienceSurrogate modelling of solutions of integral...
Abstract: Here, the Fredholm integral equation with Hilbert kernel is solved numerically, using two ...
AbstractThe concern of this paper is to study the optimization of adaptive direct algorithms for app...
Approximate solutions to inhomogeneous Fredholm integral equations of the second kind by radial and ...
Surrogate solutions of integral equations by neural networks are investigated theoretically. Upper b...
In this paper, we will obtain an efficient computable upper bound for approximate solution of linea...
AbstractLet (I − K)g = h be an integral equation with a continuous kernel on C = C[0, 1] with the un...
AbstractA new approach to the theory of kernel approximations is developed for the numerical solutio...
An integral equation of the form ζ(x) - λ∫ K(x, s) ζ(s) ds = f(x) a ≤ x ≤ b is called a Fredholm equ...
An integral equation of the form ζ(x) - λ∫ K(x, s) ζ(s) ds = f(x) a ≤ x ≤ b is called a Fredholm equ...
An integral equation of the form ζ(x) - λ∫ K(x, s) ζ(s) ds = f(x) a ≤ x ≤ b is called a Fredholm equ...
An integral equation of the form ζ(x) - λ∫ K(x, s) ζ(s) ds = f(x) a ≤ x ≤ b is called a Fredholm equ...
New expressions for computable error bounds are derived for Nyström method approximate solutions of ...
AbstractComplexity of Gaussian-radial-basis-function networks, with varying widths, is investigated....
A method is given for approximately solving linear Fredholm integral equations of the second klnd w...
Part 3: Artificial Neural NetworksInternational audienceSurrogate modelling of solutions of integral...
Abstract: Here, the Fredholm integral equation with Hilbert kernel is solved numerically, using two ...
AbstractThe concern of this paper is to study the optimization of adaptive direct algorithms for app...
Approximate solutions to inhomogeneous Fredholm integral equations of the second kind by radial and ...
Surrogate solutions of integral equations by neural networks are investigated theoretically. Upper b...
In this paper, we will obtain an efficient computable upper bound for approximate solution of linea...
AbstractLet (I − K)g = h be an integral equation with a continuous kernel on C = C[0, 1] with the un...
AbstractA new approach to the theory of kernel approximations is developed for the numerical solutio...
An integral equation of the form ζ(x) - λ∫ K(x, s) ζ(s) ds = f(x) a ≤ x ≤ b is called a Fredholm equ...
An integral equation of the form ζ(x) - λ∫ K(x, s) ζ(s) ds = f(x) a ≤ x ≤ b is called a Fredholm equ...
An integral equation of the form ζ(x) - λ∫ K(x, s) ζ(s) ds = f(x) a ≤ x ≤ b is called a Fredholm equ...
An integral equation of the form ζ(x) - λ∫ K(x, s) ζ(s) ds = f(x) a ≤ x ≤ b is called a Fredholm equ...
New expressions for computable error bounds are derived for Nyström method approximate solutions of ...
AbstractComplexity of Gaussian-radial-basis-function networks, with varying widths, is investigated....
A method is given for approximately solving linear Fredholm integral equations of the second klnd w...
Part 3: Artificial Neural NetworksInternational audienceSurrogate modelling of solutions of integral...
Abstract: Here, the Fredholm integral equation with Hilbert kernel is solved numerically, using two ...
AbstractThe concern of this paper is to study the optimization of adaptive direct algorithms for app...