Capability of neural networks in computing the outputs of dynamic systems with inputs defined on the whole space

Abstract

Strong theorems on equi-uniform approximation to functionals and operators in abstract spaces are given. As applications, theorems on system identification by neural networks, whose inputs are defined in the whole space $$\mathbb{R}^n $$ , are given.