基于决策树的空袭目标数据挖掘

摘要

为了更好地辅助决策人员进行空袭目标选择,首先分析了影响空袭目标选择的因素；利用Netica软件得到训练样本集；利用ID3算法构造决策树模型,并从中挖掘出空袭目标选择的14条规则；最后总结出目标选择遵循的6条指导原则.仿真结果表明,利用决策树进行空袭目标数据挖掘,准确率比较满意,是一种目标选择的新思路.%The purpose of this article is to help the decision-makers select the air attack targets. First, the factors that have effect on air attack target selection were analyzed. Then, Netica software was used for obtaining the training sample set, and the decision tree model was constructed by ID3 algorithm. Finally, 14 rules and 6 guiding principles were obtained for the target selection. From the simulation results, it can be concluded that the accuracy of the decision tree model is satisfactory, which is a new idea for target selection.