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

書誌詳細
Parent link:Control and Communications (SIBCON).— 2016.— [5 p.]
団体著者: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
その他の著者: Nemirovskiy V. B. Viktor Borisovich, Stoyanov A. K. Aleksandr Kirillovich, Gofman A. K. Aleksandr Konstantinovich, Tartakovsky V. A. Valery Abramovich
要約: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.
言語:英語
出版事項: 2016
シリーズ:Computer Measurement Technologies
主題:
オンライン・アクセス:http://dx.doi.org/10.1109/SIBCON.2016.7491730
フォーマット: 電子媒体 図書の章
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648812

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