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

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

Бібліографічні деталі
Parent link:	Control and Communications (SIBCON).— 2016.— [5 p.]
Співавтор:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Інші автори:	Nemirovskiy V. B. Viktor Borisovich, Stoyanov A. K. Aleksandr Kirillovich, Gofman A. K. Aleksandr Konstantinovich, Tartakovsky V. A. Valery Abramovich
Резюме:	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.
Мова:	Англійська
Опубліковано:	2016
Серія:	Computer Measurement Technologies
Предмети:	электронный ресурс труды учёных ТПУ кластеризация одномерные отображения нейронные сети поля измерения температура
Онлайн доступ:	http://dx.doi.org/10.1109/SIBCON.2016.7491730
Формат:	Електронний ресурс Частина з книги
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648812

Інтернет

http://dx.doi.org/10.1109/SIBCON.2016.7491730