基于参数优化的SVM联合作战战场建设方案优选

联合作战战场建设方案优选可最大可能降低建设工程的损耗、提高整体建设效益。针对联合作战战场建设方案优选问题进行研究,首先梳理联合作战战场建设方案优选流程,然后构建包括作战保障工程、后勤保障工程、装备保障工程和战场基础信息数据库的指标体系,并提出基于网格搜索和交叉验证优化的改进SVM方法实施方案优选,仿真结果表明优化后参数的性能明显优于默认参数,更加适用于联合作战战场建设方案优选问题。

Parameter-optimized SVM Based Battlefield Building Plan Optimization Selection in Joint Operations

Optimization selection of joint operation battlefield building can decrease the construction projects loss as much as possible and improve whole construction efficiency. This paper conducts a research aimed on joint operation battlefield building optimization selection. First,this paper figures out battlefield building optimization selection flow, then constructs a index system including operation guarantee projection, logistics guarantee projection, equipment guarantee projection and battlefield basic information database. Finally this paper proposes an improved SVM optimization plan based on grid search and cross validation,and the simulation results indicate that the optimized parameters are obviously better than the default,which are more suitable for joint operation battlefield building optimization selection.