摘要
针对空战知识获取问题展开研究,提出了一条从海量飞行参数中获取知识的途径。构建空战专家系统知识库;对于飞行动作规则知识的提取,提出了一种基于樽海鞘群优化算法的飞行动作规则知识提取方法,为了使提取的规则知识简洁有效,对算法的评价函数进行了设计。通过对水平右转弯机动动作和斤斗动作进行规则提取仿真与分析,验证了该方法的有效性和可行性。
The problem of knowledge acquisition for the air combat of fighter is studied, and a way to acquire knowledge from massive flight parameters data is put forward. Firstly, expert system of air combat is built, then for flight maneuver knowledge extraction, a method based on Salp Swarm Algorithm(SSA)is proposed, in order to obtain simple and effec- tive knowledge, designing a new evaluation function of the SSA algorithm. Finally, the simulation results of horizontal right turn and single plane loop verify that the knowledge extraction method of flight maneuver is effective and feasible.
作者
王乐
黄长强
魏政磊
WANG Le;HUANG Changqiang;WEI Zhenglei(College of Aeronautics and Astronautics,Air Force Engineering University,Xi’an 710038,China)
出处
《计算机工程与应用》
CSCD
北大核心
2019年第14期203-208,共6页
Computer Engineering and Applications
基金
国家自然科学基金(No.61601505)
航空科学基金(No.20155196022)