基于FCM算法大口径机枪的作战效能评估

Evaluation of Operational Effectiveness of Large Caliber Machine Gun Based on FCM Algorithmic

针对目前武器结构设计的智能化发展趋势,研究者将模糊C均值算法应用到大口径机枪设计的量化分析评价中.该方法结合特定的作战环境,在分析影响大口径机枪作战效能因素的基础上,选取典型大口径机枪的部分性能为研究对象.在对实例中各类参数做规范化处理后,采用模糊C均值算法,通过计算数据的隶属度来判定机枪效能的优劣,实现了机枪作战效能的聚类.实验结果表明,评估方法实现简单,评估结果客观、有效,为枪械类武器效能仿真评估提供方法和技术上的支撑.

Aimed at the trend of intelligent development of the structure design of weapon,fuzzy c mean algorithm is applied to the quantitative analysis of large caliber machine gun design.Combined with the specific operational environment,the part performance of typical large caliber gun is selected as the research object based on the analysis of factors affecting the operational efficiency of large caliber machine gun.After normalized process of these parameters,the fuzzy c means algorithmis is used to determine the effectiveness of the machine gun by calculating the membership degree of the data,and the cluster of machine gun combat effectiveness is completed.Experimental results show that evaluation method is relatively simple to achieve,the results are objective and effective,and this method can provide methods and technical support for the simulation evaluation of weapon effectiveness.