Approximation to a Compact Set of Functions by Feedforward Neural Networks

This paper is concerned with the approximation capability of feedforward neural networks to a compact set of functions. We follow a general approach that covers all the existing results and gives some new results in this respect. To elaborate, we have proved the following: If a family of feedforward neural networks is dense in H, a complete linear metric… CONTINUE READING