RT Journal Article
SR Electronic
A1 Subbotin, Sergey
A1 Oliinyk, Andrii
A1 Levashenko, Vitaly
A1 Zaitseva, Elena
T1 Diagnostic Rule Mining Based on Artificial Immune System for a Case of Uneven Distribution of Classes in Sample
JF Communications - Scientific Letters of the University of Zilina
YR 2016
VO 18
IS 3
SP 3
OP 11
DO 10.26552/com.C.2016.3.3-11
UL https://komunikacie.uniza.sk/artkey/csl-201603-0001.php
AB The problem of development automation of classification rules synthesis on the basis of negative selection in the case of uneven distribution of classes in the sample is solved. The method for the synthesis of classification rules on the basis of negative selection in the case of uneven distribution of class instances of sample is proposed. This method uses a priori information about instances of all classes of the sample. The software implementing the proposed method is developed. Some experiments on the solution of practical problem of gas turbine air-engine blade diagnosis are conducted.