DocumentCode
2975165
Title
Applications of Genetic Neural Network to Deformation Prediction of Face Rockfill Dam
Author
Yan, Qiao ; Wu, Chang-Bin ; Zhang, Yan ; Xu, Xiao Dong
Author_Institution
Coll. of Hydraulic & Environ. Eng., China Three Gorges Univ., Yichang, China
fYear
2010
fDate
25-27 June 2010
Firstpage
5051
Lastpage
5055
Abstract
Genetic neural network can improve optimization ability of the neural network model and effectively overcome the slow learning speed of BP neural network, there are the inherent local minimum point defects, and previous studies show that the method can effectively improve the prediction accuracy and speed. In this paper, using better representation at home and abroad and more comprehensive information on the actual engineering data, to explore the application of Genetic Neural Network to Deformation Prediction of Face Rockfill Dam, and to provide reference for Deformation Prediction of Face Rockfill Dam.
Keywords
backpropagation; dams; genetic algorithms; neural nets; BP neural network; deformation prediction; face Rockfill dam; genetic neural network; optimization; Control engineering; Decision support systems; Economic indicators; deformation prediction; face rockfill dam; genetic neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.1222
Filename
5629625
Link To Document