DocumentCode :
530538
Title :
The typhoon data predict and research based on the SVR
Author :
Mao Xue-min ; Zhang Ying
Author_Institution :
Sch. of Manage., Hefei Univ. of Technol., Hefei, China
Volume :
5
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
430
Lastpage :
433
Abstract :
In order to predict the related attribute values of the typhoon data affecting factors from the aspect of the intrinsic relationship of the center wind force, maximum velocity of wind and center air-pressure, which is based on structural risk minimization criteria of the support vector regression (SVR) method to establish the “wind force and speed - center air” SVR prediction model, selecting the appropriate parameters and kernel function, and forecast the center pressure of the typhoon, the proposed method can get lower the relative error, The actual results are quite satisfactory accuracy and meet forecast requirements.
Keywords :
atmospheric techniques; storms; support vector machines; weather forecasting; wind; air pressure; forecast model; kernel function; structural risk minimization; support vector regression method; typhoon data; wind force; Data processing; Forecasting; MATLAB; Mathematical model; Predictive models; Typhoons; Wind forecasting; forecast; support vector regression machine(SVR); typhoon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
Type :
conf
DOI :
10.1109/CMCE.2010.5609948
Filename :
5609948
Link To Document :
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