Title :
Prediction Model of River Water Level Based on LS-SVM
Author :
Ding Haijiao;Che Wengang
Author_Institution :
Fac. of Inf. Eng. &
fDate :
6/1/2015 12:00:00 AM
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"
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2015 8th International Conference on
DOI :
10.1109/ICICTA.2015.164