BP Neural Network Model Based on Reconstruction Phase Space and its Application in Runoff Forecasting

2008 ◽  
Author(s):  
Xiu-Ling Sun ◽  
Yong-Ming Tan ◽  
Xiao-Chi Xu
Keyword(s):  
Neural Network ◽  
Phase Space ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Model Based ◽  
Runoff Forecasting ◽  
Bp Neural Network Model

Study of Dam Deformation Model Based on Neural Network

2012 ◽  
Vol 170-173 ◽  
pp. 2137-2142 ◽  
Author(s):  
Wu Sheng Hu ◽  
Fan Zhang ◽  
Lei Song ◽  
Hao Wang
Keyword(s):  
Neural Network ◽  
Statistical Model ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Deformation Analysis ◽  
Deformation Model ◽  
Model Based ◽  
Dam Deformation ◽  
Bp Neural Network Model

Dam deformation analysis is one of the main tasks in dam safety monitoring. Regression analysis model is often used in dam deformation analysis in early days. At present, the statistical model, which divides the dam deformation into three parts, hydraulic pressure component, thermal component and ageing component, according to the causes of deformation, has been widely adopted in dam deformation analysis. The BP neural network model and the merging model based on BP neural network algorithm of dam deformation analysis are mainly discussed in this paper, and finally, the four models mentioned above are calculated and analyzed according to a specific project instance. The precisions are respectively ±1.19mm, ±0.38mm, ±0.34mm, and ±0.28mm for single linear regression model, statistical model, BP neural network model and merging model. So it is shown that the merging model is better than the others according to the results.

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