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Analysis of a Classifier with Random Thresholds

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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.

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Authors and Affiliations

  1. National Academy of Sciences of Ukraine, Institute of Program Systems, Kiev, Ukraine

    D. V. Zhora

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  1. D. V. Zhora
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Zhora, D.V. Analysis of a Classifier with Random Thresholds. Cybernetics and Systems Analysis 39, 379–393 (2003). https://doi.org/10.1023/A:1025757410388

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