Temperature Distributions Comparison by the Clustering of Their Proximity Measure; Control and Communications (SIBCON)
| Parent link: | Control and Communications (SIBCON).— 2016.— [5 p.] |
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| 企業作者: | |
| 其他作者: | , , , |
| 總結: | 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. |
| 語言: | 英语 |
| 出版: |
2016
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| 叢編: | Computer Measurement Technologies |
| 主題: | |
| 在線閱讀: | http://dx.doi.org/10.1109/SIBCON.2016.7491730 |
| 格式: | 電子 Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648812 |
| 總結: | 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. |
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| DOI: | 10.1109/SIBCON.2016.7491730 |