Decision Tree Algorithm for Tank Damage Analysis in Combat Simulation Tests

摘要：

Computer simulations are being seen as the third mode of science,complementing theory and experiment. The vast quantities of data that simulation system produce,gather and store fuel the demand for more effective means of deriving value from them. Data mining technique can discover the valuable knowledge from the massive data automatically. Through analyzing the massive simulation data by data mining technique,the deeply hidden knowledge can be discovered. By means of the combat simulation system of the digitized armored battalion was introduced,the algorithm of decision tree was analyzed. Large amounts of simulation tests were carried out according to the operational solution of the armored forces landing attack. After generalizing the acquired data,the decision tree was constructed by means of the ID3 algorithm. Finally,12 rules were extracted from the decision tree,and the further analysis of the results was presented.

关键词： Decision tree tank damage analysis combat simulation rule

作者: Zhiwu Tang Qing Xue Meng Zhao Yang Wei

作者单位: Center of Simulation,Academy of Armored Force Engineering,Beijing 100072,China College of Software and Micro-Electronics,Beijing University,Beijing 102600,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 2958-2963

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）