DocumentCode :
2114201
Title :
A prediction model for Yellow River break-up dates based on extenics data mining
Author :
Zhong Li ; Xinfang Chen ; Ailing Wang ; Yu Guoqing
Author_Institution :
Inf. Eng. Dept., Inst. of Disaster Prevention Sci. & Technol., Sanhe, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
1075
Lastpage :
1079
Abstract :
To predict the break-up date of the Yellow River, this paper analyzes a couple of factors contributing to the break-up date of the Yellow River, creates a forecast evaluation index system and builds an extenics data mining-based break-up date prediction model. The practical calculation shows that the next year prediction error is 0 and below 5% in two years. The model is feasible to predict the break-up date of the Yellow River.
Keywords :
data mining; geophysics computing; rivers; Yellow River break-up dates; extenics data mining-based break-up date prediction model; forecast evaluation index system; next year prediction error; Data mining; Ice thickness; Indexes; Predictive models; Rivers; Water resources; Break-up date of the Yellow River; Extenics data mining; Prediction model; Toudaoguai;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/FSKD.2013.6816356
Filename :
6816356
Link To Document :
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