地铁隧道变形的神经网络法预测
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摘要
基于神经网络法处理非线性问题的优势,探讨了神经网络法用于地铁隧道变形预测中影响网络收敛的各技术参数的选择问题,提出了防止网络训练过拟合及局部最小的方法。
On the basis of the advantage of the neural network method for processing nonlinear problem, some technological problems such as the election of technic parameteres may affect the network convergene in the prediction of tunnel deformation are analyzed. The method preventing exceed training and local optimization is presented.
On the basis of the advantage of the neural network method for processing nonlinear problem, some technological problems such as the election of technic parameteres may affect the network convergene in the prediction of tunnel deformation are analyzed. The method preventing exceed training and local optimization is presented.
引文
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2何勇.灰色马尔柯夫预测模型及其应用[J].系统工程理论与实践,1992,17(4):59~63.2He Yong.Grey-Markov forecasting model and its application[J].System Engineering-Theory&Practice,17(4):59-63.(in Chinese)
3潘国荣,王穗辉.深基坑事故隐患的灰色预测[J].同济大学学报,1999,27(3):319~322.3Pan Guorong and Wang Suihui.Forecasting accident of deepfoundation pit by using grey system[J].Journal of Tongji U-niversity,1999,27(3):319-322.(in Chinese)
4潘国荣,王穗辉.变形预测中顾及时变特性的指数加权组合法[J].同济大学学报,2003,31(1):44~47.4Pan Guorong and Wang Suihui.Exponential weighting con-sidering time-change peculiarity in deformation observation[J].Journal of Tongji University,2003,31(1):44-47.(in Chinese)
5冯紫良,孙海涛.用人工神经网络预测单桩竖向极限承载力[J].同济大学学报,1999,27(4):397~401.5Feng Ziliang and Sun Haitao.Prediction of vertical ultimatebearing capacity of single pile by using artificial neural net-works[J].Journal of Tongji University,1999,27(4):397-401.(in Chinese)
6程惠涛,黄文虎,杨成文.基于神经网络的组合预报模型及其应用[J].振动与冲击,1998,17(3):1~5.6Cheng Huitao,Huang Wenhu and Yang Chengwen.Forecas-ting models based on artificial neural networks and its appli-cations[J].Journal of Vibration and Shock,1998,17(3):1-5.(in Chinese)
7武安绪,等.用Modular模糊神经网络研究官厅水库的地震危险性[J].大地测量与地球动力学,2005,25(增):32~36.7Wu Anxu,et al.Study on earthquake risk of Guanting reser-voir by use of Modelar fuzzy neural network[J].Journal ofGeodesy and Geodynamics,2005,25(Supp.):32-36.(inChinese)
8潘国荣,谷川.形变监测数据组合预测[J].大地测量与地球动力学,2006,26(4):27~29.8Pan Guorong and Gu Chuan.Combination prediction of de-formation monitoring data[J].Journal of Geodesy and Geo-dynamics,2006,26(4):27-29.(in Chinese)
9张立明.人工神经网络的模型及其应用[M].上海:复旦大学出版社,1993.9Zhang Liming.Models and applications of artificial neuralnetworks[M].Shanghai:Fudan University Press,1993.(in Chinese)
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