DocumentCode
480220
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
Volume
4
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
794
Lastpage
797
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.710
Filename
4722738
Link To Document