Approximation in a continuous model of computing (Q1082816)

Our approach is to formulate a model of continuous computing which permits direct analysis of computing continuous functions. This approach raises the question, How do the results obtained from a continuous model relate to results obtained from finite models, the models of ''real'' computing? This paper addresses that question in the context of a particular model of continuous computing and its underlying finite state analog, McCulloch-Pitts networks.