Asymptotic approximation power for neural networks
Paulo J. S. G. Ferreira, Armando J. Pinho · 2002
This paper studies the asymptotic approximation power of radial basis function neural networks in the sup norm. The methods used are constructive and based on discretization of approximate identities. The effect of the kernel on the approximation order is discussed.