Title :
BP Neural Network Model Based on Reconstruction Phase Space and its Application in Runoff Forecasting
Author :
Sun, Xiu-ling ; TAN, Yong-ming ; XU, Xiao-chi
Author_Institution :
Sch. of Civil Eng., Shandong Univ., Jinan
Abstract :
By the analyze of chaos for runoff series, combing the reconstruction phase space theory and BP neural network to develop the BP neural network model based reconstruction phase space, and forecast the runoff series mensal in Xiaoqing river hydrological station of Jinan, the result shows that the model has a very good forecast accuracy and value.
Keywords :
backpropagation; chaos; forecasting theory; neural nets; rivers; BP neural network model; Jinan; Xiaoqing river hydrological station; chaos; forecast accuracy; reconstruction phase space theory; runoff forecasting; runoff series mensal; Chaos; Civil engineering; Delay effects; Neural networks; Predictive models; Rivers; Space stations; Space technology; Uncertainty; Weather forecasting; BP Neural Net Work; Reconstruction Phase Space; Runoff Forecasting;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.710
