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
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.1222