Neuro-computer system for executing a plurality of controlling algorithms

Abstract

A general neuro-computer and system using it is capable of executing a plurality of learning algorithms, providing an instruction execution speed comparable with a hard wired system, and practically neglecting a time required for rewriting microprograms. The neuro-computer is constituted by a neuron array having a plurality of neurons, a control storage unit for storing microinstructions, a parameter register, a control logic, and a global memory. A host computer as a user interface inputs information necessary for the learning and execution of the neuro-computer to the system, the information including learning algorithms, neural network architecture, the number of learnings, the number of input patterns, input signals, and desired signals. The information inputted from the host computer is transferred via a SCSI to the neuro-computer to perform a desired neural network operation.