Approximation by Neural Networks of Brownian Motion

The author recently derived several approximation results by neural network operators see the monograph [16]. There, the activation functions are induced by the arctangent, algebraic, Gudermannian and generalized symmetrical sigmoid functions. The results we apply here are univariate on a compact interval, regular and fractional.