Neuron dynamical models and optimal prediction

Abstract

This paper describes a new approach to informational technological system the mathematical Hopfield model is derived for the dynamic terminal expansion of the content addressable memory in dynamic systems. The model structure has been specifically designed to facilitate control studies. This a real – time temporal supervised learning algorithm leads to a system.