  In 1987, Hecht-Nielsen showed that any continuous multivariate function can
be implemented by a certain type three-layer neural network. This result was
very much discussed in neural network literature. In this paper we prove that
not only continuous functions but also all discontinuous functions can be
implemented by such neural networks.

Machine Learning;Functional Analysis;Machine Learning