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Application of Genetic Algorithm-BP Neutral Networks in Monitoring of Deep Foundation Pit Excavation

GAO Guang-yun et al.  
The monitoring data analysis in deep foundation pit excavation is quite complex and it depends much on experience rather than on theory. In this paper, the model of genetic algorithm-BP artificial neural networks is proposed and the genetic algorithm is combined with error back propagation method to make an effective and accurate algorithm and optimize the neural network structure. The forward propagation and control of measured data error in the networks are analyzed, some solution is presented. At last, by analysis of case study some suggestions are given.
【Fund】: 上海市重点学科 (岩土工程 )资助
【CateGory Index】: TU941
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Chinese Journal Full-text Database 6 Hits
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Chinese Journal Full-text Database 10 Hits
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1 MA Tao, YANG Jun-sheng, LIU Bao-chen, YAN Li ( Changsha University of Science & Technology, Changsha 410076, China; Central South University, Changsha 410075, China);Summary And Prospects of The Study on Effects of Urban Tunneling on Adjacent Underground Utilities[A];[C];2004
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3 LEI Xue-wen;BAI Shi-wei Wuhan University of Science and Technology,Wuhan 43007 Institute of Rock and Soil Mechanics,Chinese Academy of Sciences,Wuhan 430071;INTELLIGENT PREDICTION OF TUNNEL DISPLACEMENT BASED ON ARTIFICIAL NEURAL NETWORK[A];[C];2004
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Chinese Journal Full-text Database 10 Hits
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