On the Neural Network Approximation Problem

Charles Micchelli (IBM TJ Watson Research Center)

We discuss the complexity problem in artificial feedforward neural networks designed to approximate real valued functions of several variables and estimate the number of neurons in a network required to ensure a given accuracy.