Title :
Application of the hidden Markov models, kNN and SVM for a classification problem modes of power supply system
Author :
Gultyaeva, T.A. ; Korotenko, D.Y. ; Popov, A.A.
Abstract :
In work results of use of the hidden Markov models (HMM) with initiated these models signs for classification of the signals representing a total current, removed on an entrance of an electric chain are presented. Classification of such signals with use of the k-nearest neighbor classifier (kNN) and the classifier based on a method of support vector machine (SVM) is considered.
Keywords :
hidden Markov models; power engineering computing; power supplies to apparatus; signal classification; support vector machines; HMM; SVM; electric chain; hidden Markov models; k-nearest neighbor classifier; kNN; power supply system; signal classification problem modes; support vector machine; total current; Biological system modeling; Conferences; Hidden Markov models; Markov processes; Optimization; Probabilistic logic; Support vector machines;
Conference_Titel :
Actual Problems of Electronics Instrument Engineering (APEIE), 2012 11th International Conference on
Conference_Location :
Novosibirsk
Print_ISBN :
978-1-4673-2842-5
DOI :
10.1109/APEIE.2012.6629050
