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