DocumentCode :
1754133
Title :
The Prediction Method Research of Wavelet and Fuzzy Combined with Statistical Correlation
Author :
Yong, Peng ; Zhi-chun, Xue
Author_Institution :
Hydraulic Eng. Inst., Dalian Univ. of Technol., Dalian, China
Volume :
1
fYear :
2011
fDate :
28-29 March 2011
Firstpage :
979
Lastpage :
982
Abstract :
Based on prediction model of fuzzy classification and fuzzy recognition combined with statistical correlation, the theory of wavelet analysis was introduced and proposed the prediction model of wavelet and fuzzy combined with statistical correlation, there is a basic mentality: first, wavelet decomposes the prediction factors one by one, and then take the wavelet series that have decomposed into the prediction model of fuzzy classification and fuzzy recognition combined with statistical correlation, the prediction can progressed by getting the regression equation between category variable characteristic value and prediction object, in the annual runoff prediction of Yamadu station at Sinkiang province, the prediction accuracy of this model is satisfying.
Keywords :
fuzzy set theory; regression analysis; wavelet transforms; Yamadu station; annual runoff prediction; category variable characteristic value; fuzzy classification; fuzzy recognition combined; prediction method research; prediction object; regression equation; statistical correlation; wavelet analysis; Analytical models; Correlation; Mathematical model; Predictive models; Time series analysis; Wavelet analysis; Wavelet transforms; Fuzzy sets analysis; runoff prediction; statistical analysis; wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
Type :
conf
DOI :
10.1109/ICICTA.2011.246
Filename :
5750763
Link To Document :
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