Generalization of pattern recognition in a self-organizing system

Authors:
W. A. Clark;B. G. Farley
Affiliations:
Massachusetts Institute of Technology, Lexington, Mass.;Massachusetts Institute of Technology, Lexington, Mass.
Venue:
AFIPS '55 (Western) Proceedings of the March 1-3, 1955, western joint computer conference
Year:
1955

Citing 0
Cited 6

Experiments in processing pictorial information with a digital computer

IRE-ACM-AIEE '57 (Eastern) Papers and discussions presented at the December 9-13, 1957, eastern joint computer conference: Computers with deadlines to meet
An approach to microminiature printed systems

AIEE-ACM-IRE '58 (Eastern) Papers and discussions presented at the December 3-5, 1958, eastern joint computer conference: Modern computers: objectives, designs, applications
Modeling human mental processes

IRE-AIEE-ACM '61 (Western) Papers presented at the May 9-11, 1961, western joint IRE-AIEE-ACM computer conference
Abstract shape recognition by machine

AFIPS '61 (Eastern) Proceedings of the December 12-14, 1961, eastern joint computer conference: computers - key to total systems control
Neural analogs

AIEE-IRE '62 (Spring) Proceedings of the May 1-3, 1962, spring joint computer conference
Some logical and numerical aspects of pattern recognition and artificial intelligence

AFIPS '69 (Spring) Proceedings of the May 14-16, 1969, spring joint computer conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

A self-organizing system reported upon earlier is briefly described. Two further experiments to determine its properties have been carried out. The first demonstrates that self-organization still takes place even if the input patterns are subjected to considerable random variation. The second experiment indicates that, after organization with the usual fixed patterns, the system classifies other input patterns statistically according to a simple preponderance criterion. Significance of this result as a generalization in pattern recognition is discussed. Some remarks are made on methods of simulation of such systems and their relation to computer design.