Approximation by neural networks with scattered data

摘要

In this paper, the approximation capability of feed-forward neural networks (FNNs) formed as is considered, where ϕ is an even periodic continuous function and ’s are scattered data. The best approximation error of trigonometric polynomials and the continuous modulus of the activation function ϕ are introduced to describe the approximation capability of FNNs.