ABSTRACT
The word computer conjures up an image of a particular type of device, the digital computer, a deterministic machine that processes discrete bits of information sequentially. Yet, long before the advent of the current computer explosion, there was another kind of device, the analog computer. The analog computer is a parallel processing machine in which the variables change continuously. Thus, it should be of direct relevance to the theory of neural networks.
The purpose of this paper is twofold:
to define and describe analog generability and
to study the relation between analog generability and computability by a digital computer.
