节点文献
滑坡成因决策树挖掘
Decision-making tree for analysis of landslide causes
【摘要】 文章介绍了构造决策树的C4.5算法。在预处理过的滑坡数据上利用决策树算法生成一组坡体稳定性规则。这些规则可作为分析及预测滑坡的重要参考。也可用来创建专家系统的知识库。其次,作者对决策树算法提出了改进,通过调整测试集的某些参数,构造了一棵局部最优的决策树。使得对于滑坡成因的分类具有更高的正确率。
【Abstract】 This paper introduces C4.5 algorithm,which is widely used to construct decision-making tree.By implementation of this algorithm,a set of rules of slope stability can be generated based on a series of preprocessed landslide data.The generated rules could be subsequatly used for landslide analysis and predction,also could be used in building of repository of landslide expert system.To construct an optimized decision-making tree.this algorithm was further modified by adjusting same parameters in test data set.The modified algorithm can increase correction ratio when it is used for classification of landslide causes.
- 【文献出处】 中国地质灾害与防治学报 ,The Chinese Journal of Geological Hazard and Control , 编辑部邮箱 ,2006年01期
- 【分类号】TP311.13
- 【被引频次】18
- 【下载频次】246