Pages that link to "Item:Q1940856"
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The following pages link to The rate of approximation of Gaussian radial basis neural networks in continuous function space (Q1940856):
Displaying 12 items.
- \(L^p\) approximation capability of RBF neural networks (Q944076) (← links)
- Complexity of Gaussian-radial-basis networks approximating smooth functions (Q998978) (← links)
- On simultaneous approximations by radial basis function neural networks (Q1294160) (← links)
- Denseness of radial-basis functions in \(L^ 2(R^ n)\) and its applications in neural networks (Q1917815) (← links)
- A comment on ``Relaxed conditions for radial-basis function networks to be universal approximators'' (Q1932117) (← links)
- Nonlinear approximation via compositions (Q2185653) (← links)
- Almost optimal estimates for approximation and learning by radial basis function networks (Q2251472) (← links)
- Constructive estimation of approximating of functions with Gaussian RBF neural network (Q2750993) (← links)
- Constructive approximation by Gaussian neural networks (Q2871205) (← links)
- (Q4736124) (← links)
- Deep Network Approximation Characterized by Number of Neurons (Q5162359) (← links)
- Construction and approximation for a class of feedforward neural networks with sigmoidal function (Q6052306) (← links)
