随机森林算法在滑坡稳定性特征分析中的应用

Application of Random Forest Algorithm in Landslide Stability Characteristics Analysis

滑坡轻则破坏农田植被,重则造成人员伤亡及巨大经济损失。深入地研究及理解滑坡产生的原理和过程,有利于研究人员提出更加合理的预防及管控方案,进而避免或减轻此类灾害的影响。采用随机森林算法简化了滑坡稳定性变化状态的分类过程,避免了采用一般数学方法容易陷入数据过拟合现象的问题。依据已有的滑坡案例数据进行仿真测试,预测和评价了滑坡变化过程的稳定状况。

The landslide might destroy farmland vegetation,or it may even cause heavy casualties and huge economic losses. Through deeply research and understanding of the principle and process of landslide,researchers can put forward more reasonable preventions and control programs,and thus avoid or mitigate the impact of such disasters. Using the random forest method simplifies the classification process of landslide stability change,avoids the problem that using general mathematical method easily results in the data fitting. The simulation test is done according to the obtained data of landslide cases,and the stable situation of landslide change process is predicted and evaluated..