The Simultaneous Approximation Order by Neural Networks With a Squashing Function

Abstract

Abstract. In this paper, we study the simultaneous approximation to functions in C m [0, 1] by neural networks with a squashing function and the complexity related to the simultaneous approximation using a Bernstein polynomial and the modulus of continuity. Our proofs are constructive.