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论文类型：会议论文

发表时间：2009-01-01

收录刊物：CPCI-S

页面范围：1536-1539

关键字：Dam Prediction of deformation; Genetic Algorithm; BP nerve network; Forecast

摘要：The method of combining the genetic algorithm(GA)with BP algorithm together and supplemented mutually by optimizing the initial weights of ANN with GA has been introduced,, Based on GA-LMBP neural network, the known testing data was used to establish a computational model to monitor the horizontal deformation of the 30# dam of Fengman hydropower station in Jilin province. Through comparing with the results, we get a conclusion that the proposed model has a preferable precision and applicability. It can be widely used in the testing forecast for water conservancy structure deformation.