DocumentCode
523574
Title
Optimization for Impact Factors of Dam Deformation Based on BP Neural Network Model
Author
Tieding, Lu ; Xijiang, Chen ; Shijian, Zhou
Author_Institution
Sch. of Geosci. & Geomatics, East China Inst. of Technol., Fu-zhou, China
Volume
2
fYear
2010
fDate
11-12 May 2010
Firstpage
854
Lastpage
857
Abstract
The traditional Dam deformation predicting focused on the optimization of the model itself, while ignoring the optimization for impact factors. This paper introduced correlation coefficient into the judgment of the optimization for impact factors. According to the comparative analysis on the discrimination for different relativity judging, Finally, The Pearson correlation coefficient method is determined about the optimization of the dam deformation impact factors.
Keywords
backpropagation; correlation methods; dams; deformation; neural nets; optimisation; structural engineering computing; BP neural network; Pearson correlation coefficient; dam deformation; optimization; Automation; Deformable models; Neural networks; BP neural network; Dam deformation impact factor; correlation coefficient;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.853
Filename
5522620
Link To Document