By taking Xianyou County as an example, a new method for landslide hazard evaluation based on GIS and Support Vector Machines (SVM) is presented in this paper.
以仙游县为例，探讨了将地理信息系统技术(GIS)和支持向量机(SVM)算法应用于滑坡灾害危险性评价的基本思路和技术路线。
We presented a novel method for forecasting landslide displacement based on phase space reconstruction and support vector machine.
提出了一种基于相空间重构与支持向量机预测滑坡位移的新方法。
The principles and methods of using support vector machine technique to extract the information of landslide hazard are discussed. Its effectiveness is illustrated with an example.
阐述了基于支持向量机的滑坡灾害信息遥感图像提取的基本原理和方法，并结合实例说明了这种方法的有效性。
Through proposing the general clue of landslide time forecast under the GIS support, the design of general frame and various function modules to the system was carried out.
通过提出GIS支持下的滑坡时间预测的总体思路，对系统进行了总体结构设计和各功能模块设计。
Last, analyzing mechanical features of support structures in course of landslide, it draws the influence law of tunnel caused by landslide.
最后，分析了滑坡滑动过程中隧道支护结构受力特征，得出了在施工期间及运营条件下滑坡滑动对隧道支护结构的影响规律。
Last, analyzing mechanical features of support structures in course of landslide, it draws the influence law of tunnel caused by landslide.
最后，分析了滑坡滑动过程中隧道支护结构受力特征，得出了在施工期间及运营条件下滑坡滑动对隧道支护结构的影响规律。
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