In the present paper efficiency of different classification algorithms is estimated at recognition of the telecommunications network state. The analysis of classification algorithms was carried out by means of the Weka data analysis system. The initial data set was a dynamics of quality metrics estimations change of the telecommunications network. The analysis of classification algorithms showed that the most effective method of classification is neural network.
telecommunication network, methods of classification, networks of neurons
"Otsenka эffektyvnosty metodov klassyfykatsyy sostoianyi telekommunykatsyonnoi sety" ,
Scientific Works of Kharkiv National Air Force University,