Инд. авторы:	Zamaraev R.Y., Popov S.E., Logov A.B.
Заглавие:	The algorithm for classifying seismic events based on the entropy mapping of signals
Библ. ссылка:	Zamaraev R.Y., Popov S.E., Logov A.B. The algorithm for classifying seismic events based on the entropy mapping of signals // Izvestiya. Physics of the Solid Earth. - 2016. - Vol.52. - Iss. 3. - P.364-370. - ISSN 1069-3513. - EISSN 1531-8451.
Внешние системы:	DOI: 10.1134/S1069351316030137; РИНЦ: 27158054; SCOPUS: 2-s2.0-84971238418; WoS: 000376615000004;
Реферат:	eng: The original algorithm for classifying seismic signals is presented. The suggested approach is novel by the preliminary entropy type transformations which enable generalization of the information about the peculiarities of the waveforms of seismic signal components. The shapes of the characteristic functions obtained in the method are used for estimating the mutual similarity of the known and unknown selected events.
Ключевые слова:	DISCRIMINATION; AUTOMATIC CLASSIFICATION; ARTIFICIAL NEURAL-NETWORKS;
Издано:	2016
Физ. характеристика:	с.364-370
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