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基于灰色理论的隧道围岩收敛预测 被引量:7

Grey Theory Based Convergence Prediction of Surrounding Rock
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摘要 文章根据隧道围岩收敛监测信息,应用灰色系统原理和方法,建立了GM(1,1)模型并进行了预测。预测结果表明,灰色模型预测值与实测值吻合程度较好,能为隧道的动态设计和信息化施工提供决策依据。 A grey model GM (1,1) was built based on a measurement survey of tunnel rock mass convergence. The results showed that the values predicted by the grey model agreed well with the measured ones, and this study can be used as a basis for decision making regarding the observational design and information-based construction of tunnels.
机构地区 重庆市勘测院
出处 《现代隧道技术》 EI 北大核心 2012年第5期56-59,共4页 Modern Tunnelling Technology
关键词 隧道工程 灰色模型 围岩收敛 预测 Tunnelling Grey model Convergence of tunnel rock mass Prediction
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  • 1陶纪南,陶冶.岩土工程位移预测与安全预报[J].西安建筑科技大学学报(自然科学版),1995,27(2):129-133. 被引量:4
  • 2殷坤龙,晏同珍.滑坡预测及相关模型[J].岩石力学与工程学报,1996,15(1):1-8. 被引量:125
  • 3[8]Torresa M E,Gamero L G.Relative complexity changes in time series using information measures[J].Physica A,2000,286:457-473.
  • 4[9]Zhang G P,Patuwo B E,Hu M Y.A simulation study of artificial neural networks for nonlinear time-series forecasting[J].Computers and Operations Research,2001,28:381-396.
  • 5[10]Timmer J.Parameter estimation in nonlinear stochastic differential equations[J].Chaos,Solitons and Fractals,2000,11:2 571-2 578.
  • 6[11]Rico-Martinez R,Adomaitis R A,Kevrekidis I G.Noninvertibility in neural networks[J].Computers and Chemical Engineering,2000,24:2 417-2 433.
  • 7[12]Timmer J,Rust H,Horbelt W,et al.Parametric,nonparametric and parametric modelling of a chaotic circuit time series[J].Physics Letters A,2000,274:123-134.
  • 8[15]Kwok T,Smith K A.Experimental analysis of chaotic neural network models for combinatorial optimization under a unifying framework[J].Neural Networks,2000,13:731-744.
  • 9[17]Sexton R S,Dorsey R E,Johnson J D.Optimization of neural networks:a comparative analysis of the genetic algorithm and simulated annealing[J].European Journal of Operational Research,1999,114:589-601.
  • 10[18]Sadighi M,Setayeshi S,Salehi A A.PWR fuel management optimization using neural networks[J].Annals of Nuclear Energy,2002,29:41-51.

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