| 支持向量机在建筑物变形监测中的应用探讨 |
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| 引用本文： | 谢波.支持向量机在建筑物变形监测中的应用探讨[J].北京测绘,2010(4):46-48. |
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| 作者姓名： | 谢波 |
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| 作者单位： | 重庆水利电力职业技术学院,建筑工程系,重庆,402160 |
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| 摘 要： | 论述了支持向量机的回归算法和基于时间序列支持向量回归的建筑物变形预测方法,并用MATLAB6.5工具箱编制基于时间序列支持向量回归程序,建立了基于时间序列支持向量回归模型。最后以实例数据讨证基于时间序列支持向量机回归模型的预测方法。研究表明:用时间序列支持向量回归模型建立的建筑物变形监测的预测模型是可行的和有效的。
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| 关 键 词： | 时间序列 支持向量回归 变形监测 核函数 |
Research on Support Vector Regression Model for Building Deformation Observation |
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| XIE Bo.Research on Support Vector Regression Model for Building Deformation Observation[J].Beijing Surveying and Mapping,2010(4):46-48. |
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| Authors: | XIE Bo |
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| Institution: | XIE Bo(Construction Department of Chongqing Hydroelectric College,Chongqing,402160,China) |
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| Abstract: | The paper discuss the algorithm of support vector regression and method to building deformation observation forecasting based on time series support vector machine,and establish the regression model based on time series support vector machine by using the Matlab6.5 Toolbox.Practical effectiveness of the regression model for building deformation observation forecasting based on time series support vector machine is proved on a set of experimental data. |
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| Keywords: | time series support vector regression deformation observation kernel function |
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