Title :
Research on the genetic regression model of Earth-rock dam safety monitoring and its application
Author :
Chun-Di Si ; Ji-Jian Lian ; Zhi-Hong Qie ; Shu-Quan Li ; Xin-Miao Wu
Author_Institution :
Tianjin Univ., China
Abstract :
In this paper, the factors which influence the piezometric level of Earth-rock dams are combined randomly by using a genetic algorithm to do selective preference. A new genetic regression model is established based on considering the comprehensive influence of fitting and prediction accuracy in fitness function. Through analyzing the seepage monitoring data of Dong Wu Shi Reservoir, it is shown that the prediction accuracy of this method is better than that of the general statistical regression.
Keywords :
dams; data analysis; environmental science computing; genetic algorithms; regression analysis; reservoirs; Dong Wu Shi Reservoir; Earth-rock dam safety monitoring; fitness function; genetic algorithm; genetic regression model; piezometric level; seepage monitoring data analysis; statistical regression; Accuracy; Atmospheric modeling; Equations; Genetic algorithms; Linear regression; Monitoring; Predictive models; Safety; Semiconductor process modeling; Stability; Earth-rock dam; fitting accuracy; genetic regression model; prediction accuracy; safety monitoring;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527433
