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《Building Science Research of Sichuan》 2004-02
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Using the artificial neural network to calculate liquation index by static cone penetration test

XIE Yong-mou~1,TAN Guang-jie~2,XU Liang~2 (1.Highway Survey and Design Research Institute,Sichuan Communications Department,Chengdu610041,China; 2.College of Environment and Civil Engineering,Chengdu University of Technology,Chengdu610059,China)  
The test depth,the content of the clay particle,the Ps and the thickness of the calculating soil are chosen as the input parameters for the neural network model build in this paper.The neural network model studied 21 samples and calculate 5 locations.The result shows that it is feasible to use artificial neural network model to calculate the liquation index by static cone penetration test.
【CateGory Index】: TU41
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