The Study on Deformation Prediction Modeling of Dam Based on AGO-BP Neural Network

摘要：

Deformation observation is one of the important contents of project measurement. It is the tradition method which usually adopts mathematical statistics when we own big sample of the observation data and have feature distribution. However, in actual project, these conditions are difficultly met. There are many environmental factors related to, when we prediction the deformation of dam. If we only has deformed inspection data and lacks other deformed factor data it is hard to carry out accurate prediction for that dam deformation only with neural network. This paper has found the neural network prediction model of AGO-BP using matlab programming, via example verification proof the prediction is accurate. When latest sequence participating in prediction process, it may keep higher prediction accuracy.

关键词： AGO-BP Neural Network Dams Deformation Prediction Model

作者: Yu-Ling Zhao Xin-Xia Liu Xi-Kang Yao Min Zheng

作者单位: Hebei University of Engineering,Handan 056021,China HanDan Design Engineering Chinacole CO.LTD., Handan 056031,China Sinopec.Shengli Oil Field Zhuangxi Oil Production Plant,Dongying 257237,China

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 400-403

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）