Research on Dam Deformation Forecast Model Based on Genetic Algorithm Neural Network

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.

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

作者: Yi Xiaodong Xu Feng Jiang Chengke

作者单位: School of Civil and Hydraulic Engineering Dalian Univ.of Technol.Dalian, Liaoning 116024, China City institute, Dalian Univ.of Technol.Dalian, Liaoning, 116100, China

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 1536-1539

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）