Temperature Distributions Comparison by the Clustering of Their Proximity Measure; Control and Communications (SIBCON)

Bibliografiske detaljer
Parent link:Control and Communications (SIBCON).— 2016.— [5 p.]
Institution som forfatter: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Andre forfattere: Nemirovskiy V. B. Viktor Borisovich, Stoyanov A. K. Aleksandr Kirillovich, Gofman A. K. Aleksandr Konstantinovich, Tartakovsky V. A. Valery Abramovich
Summary:Title screen
In this paper the method for determining ofproximity of the temperature measurements fields is described.The method includes a clustering of values of the measurementsfields, an estimationof their informational proximity to thechosen reference field by Kullback-Leibler distances and aclustering of thevalues of these distances.Clustering is performedby recurrent neural network. The results of applying theproposed method to the analysis of temperature fields in theNorthern hemisphere for the period of 1955-2010 are presented.
Sprog:engelsk
Udgivet: 2016
Serier:Computer Measurement Technologies
Fag:
Online adgang:http://dx.doi.org/10.1109/SIBCON.2016.7491730
Format: Electronisk Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648812

MARC

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330 |a In this paper the method for determining ofproximity of the temperature measurements fields is described.The method includes a clustering of values of the measurementsfields, an estimationof their informational proximity to thechosen reference field by Kullback-Leibler distances and aclustering of thevalues of these distances.Clustering is performedby recurrent neural network. The results of applying theproposed method to the analysis of temperature fields in theNorthern hemisphere for the period of 1955-2010 are presented. 
463 |t Control and Communications (SIBCON)  |o Proceedings of the XII International Siberian Conference, Moscow, May 12–14, 2016  |v [5 p.]  |d 2016 
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