DocumentCode
3774104
Title
Prediction Model of River Water Level Based on LS-SVM
Author
Ding Haijiao;Che Wengang
Author_Institution
Fac. of Inf. Eng. &
fYear
2015
fDate
6/1/2015 12:00:00 AM
Firstpage
647
Lastpage
650
Abstract
In order to predict the changes of water level of natural river, this paper applied the method of LS-SVM, combining with sichuan zigong hydrologic measured water level data and flow data builded a double input single output (water level and flow-water level) river water level prediction model. Through the analysis of the prediction results, can draw the conclusion: The accuracy of the prediction model, which was established by LS-SVM is very high, can meet the needs of the river water level prediction.
Keywords
"Predictive models","Support vector machines","Data models","Rivers","Mathematical model","Kernel","Analytical models"
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2015 8th International Conference on
Type
conf
DOI
10.1109/ICICTA.2015.164
Filename
7473380
Link To Document