Analysis of a Classifier with Random Thresholds

Authors:
D. V. Zhora
Affiliations:
Institute of Program Systems, National Academy of Sciences of Ukraine, Kiev, Ukraine dvz73@bigfoot.com
Venue:
Cybernetics and Systems Analysis
Year:
2003

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Abstract

A neural classifier with random thresholds is considered. Probabilistic analysis of functional characteristics depending on the classifier parameters is performed, and recommendations for their selection are made. The classifier structure optimization is proposed for input data distribution.