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The Construction Method of the Computer Diagnostics Systems Based on the Analysis of Training Sample Data
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УДК: 004.891.3:004.93
Мова публікації: Російська
Stuc. intelekt. 2012; 17; (4):381-386
Анотація: In the article, the construction method of the computer diagnostics systems based on algorithms of pattern recognition and cluster analysis is considered. It is proposed, using the original set of diagnostic conditions and the one of observable characteristics, to form a priori features vocabulary and to build a training sample, and then on the basis of the analysis of the sample data to form such kind of solution space, in which the formal images of the standards of diagnosed conditions are separated and compact.
Ключові слова: computer system of diagnostics, cluster analysis, great number of the diagnosed states
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