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《Journal of Dalian University of Technology》 2007-03
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Application of seriatim hybrid genetic algorithm to prediction of dam deformation

YAN Bin1,2,ZHOU Jing1(1.School of Civil and Hydraul.Eng.,Dalian Univ.of Technol.,Dalian 116024,China;2.College of Hydraul.Eng.,Shenyang Agric.Univ.,Shenyang 110161,China)  
A new model named seriatim hybrid genetic algorithm model based Levenberg-Marquardt algorithm(SGA-LM) is developed to predict dam deformation.The model is compared with whole genetic algorithm model based Levenberg-Marquardt algorithm (WGA-LM),seriatim Levenberg-Marquardt model(SLM) and whole Levenberg-Marquardt model(WLM).Case study shows that SGA-LM and WGA-LM are superior to SLM and WLM respectively,and SGA-LM and SLM are superior to WGA-LM and WLM respectively in prediction accuracy under the circumstances of the same modeling samples,forecasting factors and structure parameters.The SGA-LM has characteristics of real-time and stable forecasting results.With accumulation of samples,the forecasting precision of SGA-LM is continually improved.Thus,SGA-LM is comparatively effective in real-time prediction of dam deformation.
【CateGory Index】: TV64
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