Method of intelligent computing and neural-like processing of time and

Abstract

The contents of an organic memory at an address A are multiplied by a quality factor Q and then added to a signal ID from a sensor or an external source of data, selected randomly and in real time, multiplied by a weight factor W. The sum obtained in this way is stored back at the same address A. The process is repeated for different values of ID, W, Q and A in a sequence that represents an evolution program. The result is a neural network with individually programmable, exponential output activation functions. Meanwhile the contents of the organic memory are simultaneously scanned by a CPU from a second port without the need for special access protocols or timing changes in either the organic memory or the CPU. Protocol-free, multi-ported memories facilitate the interfacing of multiprocessors and an address bus expansion circuit further reduces the need to access slow peripheral memories.