Nonparametric estimation using neural networks

Abstract

We show that properly trained neural networks provide universally consistent nonparametric estimators. The results apply to regression estimation, conditional median estimation, curve fitting, pattern recognition and learning concepts. The estimators minimize the empirical L/sub p/-error.<>