摘要
分析陆战场中情报、监视和侦察(ISR)无人机的威胁影响因素及其特点,构建了ISR无人机威胁评估指标体系,利用遗传算法优化了BP神经网络评估模型,针对ISR无人机的威胁进行评估分级,仿真结果实际可行,为陆战场中无人机的编队模式和航路优化提供了可靠依据。
The threat influence elements and its characters for ISR UAV in the land battlefield are analyzed.The target system of the threat simulation for ISR UAV is built.The BP ANN model is optimized by the genetic algorithm.The optimized BP network is used to simulate the threat for ISR UAV.The simulation result is practical and effective.It provides a reliable basis for UAV formation model and air route optimization in the land battlefield.
出处
《舰船电子工程》
2015年第7期28-30,共3页
Ship Electronic Engineering
基金
国家自然科学基金(编号:71371187)资助
