Application of Regression Model Based on Genetic Algorithms in Dam Safety Monitoring
Data analysis is an important part in dam safety monitoring. As a new type of searching method for global optimization, Genetic algorithms has some merits such as intelligence searching、parallel mode、robust and wide application. Basing on establish regression model, the coefficient of the regression model is re-evaluated by the genetic algorithms depends on its effective self-adapting global searching optimization, then we can establish genetic regression model. The model is used to analyse the horizontal displacement data of the gravity dam, the results show that the model attains good simulating effect and forecasting precision.
gravity dam safety monitoring model of dam monitoring genetic algorithms genetic regression model
Chen zheng Deng Nian-wu Zhang Xiao-chun Tai Ji-gang
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University430072, Yulin Hydroelectricity Reconnaissance Design Institute, Yulin 537000, China
国际会议
西安
英文
1-11
2005-11-01（万方平台首次上网日期，不代表论文的发表时间）