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 :
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