|
[1] 陈子荫. 时间序列分析——一种预报岩体力学行为的可能途径[J]. 岩土工程学报,1991,13(4):87–95.(CHEN Ziyin. Time series analysis:practicable method of predicting mechanical behavior of rock mass[J]. Chinese Journal of Geotechnical Engineering,1991,13(4):87–95.(in Chinese))
[2] 朱永全,景诗庭,张 清. 时间序列分析在隧道施工监测中的应用[J]. 岩石力学与工程学报,1996,15(4):353–359.(ZHU Yongquan,JING Shiting,ZHANG Qing. Application of time series analysis method to measure displacement in tunneling[J]. Chinese Journal of Rock Mechanics and Engineering,1996,15(4):353–359.(in Chinese))
[3] 李术才,王渭明,王拉才. 非线性时序分析模型在地下工程位移预报中的应用[J]. 岩土工程学报,1997,19(4):15–20.(LI Shucai,WANG Weiming,WANG Lacai. Application of nonlinear time series analysis model for displacement forecasting in underground engineering[J]. Chinese Journal of Geotechnical Engineering,1997,19(4):15–20.(in Chinese))
[4] 孙星亮,汪 稔. 自适应时序模型在地下工程位移预报中的应用[J]. 岩石力学与工程学报,2004,23(9):1 465–1 469.(SUN Xingliang,WANG Ren. Application of self-adaptive time series model to displacement forecast in underground engineering[J]. Chinese Journal of Rock Mechanics and Engineering. 2004,23(9):1 465–1 469.(in Chinese))
[5] 尹光志,岳 顺,钟 焘,等. 基于ARMA模型的隧道位移时间序列分析[J]. 岩土力学,2009,30(9):2 727–2 732.(YIN Guangzhi,YUE Shun,ZHONG Tao,et al. Time series analysis of tunnel displacement based on ARMA model[J]. Rock and Soil Mechanics,2009,30(9):2 727–2 732.(in Chinese))
[6] 任 松,姜德义,杨春和. 基于遗传算法的浅埋隧道开挖地表沉降神经网络预测[J]. 郑州大学学报:工学版,2006,27(3):46–49.(REN Song,JIANG Deyi,YANG Chunhe. Predicting the earth surface subsidence caused by excavating shallow tunnel with the genetic neural network[J]. Journal of Zhengzhou University:Engineering Science,2006,27(3):46–49.(in Chinese))
[7] 王穗辉,潘国荣. 人工神经网络在隧道地表变形预测中的应用[J]. 同济大学学报,2001,29(10):1 147–1 151.(WANG Suihui,PAN Guorong. Applying theory of artificial neural network to prediction of
ground deformation during tunnel excavation[J]. Journal of Tongji University,2001,29(10):1 147–1 151.(in Chinese))
[8] 田执祥,乔春生,滕文彦,等. 基于支持向量机的隧道变形预测方法[J]. 中国铁道科学,2004,25(1):86–90.(TIAN Zhixiang,QIAO Chunsheng,TENG Wenyan,et al. Method of predicting tunnel deformation based on support vector machines[J]. China Railway Science,2004,25(1):86–90.(in Chinese))
[9] 李宏建. 隧道变形预测的灰色Verhulst模型[J]. 石家庄铁道学院学报,2000,13(4):28–30.(LI Hongjian. The gray Verhulst model of displacement of tunnel[J]. Journal of Shijiazhuang Railway Institute,2000,13(4):28–30.(in Chinese))
[10] 孙元春,尚彦军. 岩石隧道围岩变形时空效应分析[J]. 工程地质学报,2008,16(2):211–215.(SUN Yuanchun,SHANG Yanjun. Integrated analysis of the tempo-spatial effect of surrounding rock deformation in tunneling[J]. Journal of Engineering Geology,2008,16(2):211–215.(in Chinese))
[11] 中华人民共和国行业标准编写组. JTG F60—2009公路隧道施工技术规范[S]. 北京:人民交通出版社,2009.(The Professional Standards Compilation Group of People¢s Republic of China. JTG F60—2009 Technical specification for construction of highway tunnel[S]. Beijing:China Communications Press,2009.(in Chinese))
[12] 李晓红. 隧道新奥法及其测量技术[M]. 北京:科学出版社,2002:42–44.(LI Xiaohong. New Austrian tunneling method and survey technology[M]. Beijing:Science Press,2002:42–44.(in Chinese))
[13] 颜庆津. 数值分析[M]. 北京:北京航空航天大学出版社,1992: 112–114.(YAN Qingjin. Numerical analysis[M]. Beijing:Beihang University Press,1992:112–114.(in Chinese))
[14] 邓聚龙. 灰色系统:社会•经济[M]. 北京:国防工业出版社,1985:23–40.(DENG Julong. Grey system:society•economy[M]. Beijing:National Defence Industry Press,1985:23–40.(in Chinese))
[15] 潘红宇. 时间序列分析[M]. 北京:对外经济贸易大学出版社,2006:87–106.(PAN Hongyu. Time series analysis[M]. Beijing:University of International Business and Economics Press,2006:87–106.(in Chinese))
[16] 杨叔子,吴 雅,轩建平,等. 时间序列分析的工程应用[M]. 武汉:华中科技大学出版社有限责任公司,1991:182–188.(YANG Shuzi,WU Ya,XUAN Jianpin,et al. Time series analysis in engineering application[M]. Wuhan:Huazhong University of Science and Technology Press Co.,Ltd.,1991:182–188.(in Chinese))
|