Approximation of Functions in L_P Spaces for p

Abstract

   Many papers introduced about the approximation of continuous functions using neural networks. In this paper we use neural network to approximate functions in  spaces for p . We study the approximation for functions defined on the complete real line using neural networks with radial basis having constant weight. We also use convolution to approximate functions in  spaces for a compact interval using radial basis function neural networks of constant weights.