COGNI-neocognitron simulation software

Abstract

The simulation software COGNI simulates the pattern recognition neural network neocognitron of K. Fukushima (1982). Due to its complexity, simulations can be carried out only on relatively powerful computer systems which are capable of high speed numeric processing and graphic display. There are two versions available, using the IBM PC-AT and the mu VAX II. Neocognitron is able to learn without a teacher. The response of the last layer in forward (afferent) paths is not affected by the pattern's position or by a small change in the shape or size of the stimulus pattern. Even stimuli corrupted with noise are successfully recognized. The autoassociation is also achieved in the last layer of backward (efferent) paths i.e. in the autoassociation plane.<>