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Tunnels and Underground Engineering Optimization and Gray Rock Deformation Prediction
作者姓名:Li Mao  Fan Lei  Li Lei  Chen Guang and Huo Runke
作者单位:Xi'an University of Architecture and Technology, Xi'an 710055;4. Beris Engineering and Research Corporation Baotou Inner Mongolia 014000;Xi'an University of Architecture and Technology, Xi'an 710055;Xinjiang Municipal Architectural Design Institute LTD. Urumchi 830000;Tianjin Twenty Construction Co., LTD Tianjin 300000;Xi'an University of Architecture and Technology, Xi'an 710055
摘    要:This article mainly introduced the combination of gray linear regression model of the gray optimization and prediction, and applies it to the monitoring measurement of tunnel and underground engineering. Combined with engineering example, compare the grey optimization of the GM (2, 1) model, Verhust model and the metabolism model with the gray linear regression model, the metabolism model of gray linear regression model has more general applicability and accurate simulation prediction precision when predict rock deformation.

关 键 词:tunnels  and  underground  engineering  rock  deformation  grey  optimization  prediction

Tunnels and Underground Engineering Optimization and Gray Rock Deformation Prediction
Li Mao,Fan Lei,Li Lei,Chen Guang and Huo Runke.Tunnels and Underground Engineering Optimization and Gray Rock Deformation Prediction[J].Storage & Process,2013(Z2):143-145.
Authors:Li Maod  Fan Lei  Li Lei  Chen Guang and Huo Runke
Abstract:This article mainly introduced the combination of gray linear regression model of the gray optimization and prediction, and applies it to the monitoring measurement of tunnel and underground engineering. Combined with engineering example, compare the grey optimization of the GM (2, 1) model, Verhust model and the metabolism model with the gray linear regression model, the metabolism model of gray linear regression model has more general applicability and accurate simulation prediction precision when predict rock deformation.
Keywords:
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