基于数据挖掘的装备在役考核评估研究

Research of Data Mining on Equipment Assessment in Service

通过装备在役考核评估,可以充分挖掘装备实际应用中的问题短板,总结各种环境下人装结合的特点规律,为武器装备的改造升级、实战化训练的战法改进等提供辅助决策支持。在把握数据挖掘和在役考核的内涵基础上,针对装备寿命周期的数据特征,介绍了数据挖掘的预处理、挖掘实施和结果解释3个阶段在装备在役考核中的应用形式,全流程分析了基于数据挖掘技术的装备在役考核评估程序,详细给出了数据挖掘在在役考核中选择应用工具与算法的思路,然后从在役考核指标体系模式评估和挖掘知识表示两个方面,重点分析了在役考核中数据挖掘的应用效果,最后总结了数据挖掘在装备在役考核应用中的优势和未来发展趋势。

Through equipment assessment in service,the shortcomings in the practical applications of equipment can be discovered,and the characteristics of the combination of human and equipment in various environments can also be summarized.The transformation and upgrading of weapons and equipment,as well as the improvement of combat methods for combat training will be promoted to provide assistant decision-making.On the basis of expounding the connotation of data mining and equipment assessment in service,according to the data characteristics of equipment life cycle,the application forms of data mining prepossessing,mining implementation and result interpretation of the in-service assessment were introduced.The programs of equipment assessment in service based on data mining technology were analyzed step by step.The idea of selecting application tools and algorithms on the in-service assessment of data mining were expounded in detail.Then,from the evaluation of the in-service assessment index system model and the mining of knowledge representation,the application effect of data mining on in-service assessment was analyzed.Finally,advantages and future development trends of data mining used in the application of in-service assessment were summarized.