Associative Networks

Abstract

The previous chapters were devoted to the analysis of neural networks without feedback, capable of mapping an input space into an output space using only feed-forward computations. In the case of backpropagation networks we demanded continuity from the activation functions at the nodes. The neighborhood of a vector x in input space is therefore mapped to a neighborhood of the image y of x in output space. It is this property which gives its name to the continuous mapping networks we have considered up to this point.