Title :
Research and Application of Data Mining for Runoff Forecasting
Author :
Li, Cailin ; Yuan, Xiaohui
Author_Institution :
Coll. of Electron. & Mech. Eng., Guilin Univ. of Electron. Technol., Guilin
Abstract :
This paper presents a runoff forecasting method based on data mining. A runoff forecasting model is built up by the data mining tool ANN. Data mining is carried on by BP model and the convergence speed is improved by the modification of the weight coefficients. The model is tested in a real project and compared with general models. The test result and analysis illustrate its good precision of forecasting and good value in the application.
Keywords :
backpropagation; data mining; forecasting theory; geophysics computing; hydrological techniques; hydrology; neural nets; ANN; artificial neural nets; back propagation model; data mining; runoff forecasting; Artificial neural networks; Brain modeling; Data mining; Educational institutions; Mathematical model; Mathematics; Power system modeling; Predictive models; Technology forecasting; Testing; ANN; BP; data mining; runoff forecasting;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.75
