Generalization of pattern recognition in a self-organizing system
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TL;DR
The first experiment demonstrates that self-organization still takes place even if the input patterns are subjected to considerable random variation, and the second indicates that the system classifies other input patterns statistically according to a simple preponderance criterion.
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.