基于BP神经网络的UCAV航迹综合评价

针对目前航迹规划过程中评价指标难以统一且指标权重确定过分依赖主观经验的问题,在建立较为完备的UCAV航迹评价指标体系基础上,引入BP神经网络对UCAV备选航迹进行综合评价,从备选航迹的样本数据出发,客观分析航迹的优劣,为决策者提供更加科学合理的参考依据,最后结合仿真算例,验证了该方法的可行性。

UCAV Aircraft Path Evaluation Based on BP Neural Network

At present, the evaluation index of path planning is difficult to unity and path evaluation function depends more on subjective experience. The two problems cause decision makers feel hard to choose final path in alternative paths. Aiming to the situation,a relatively complete UCAV path evaluation index system is established. And then, in the case of known alternative paths information,BPNeural Networkmethod is proposed to comprehensively evaluate the alternative paths and give the paths'final sorting,which provides reasonable suggestion for decision makers. At last, actual calculations are introduced to demonstrate the feasibility of the method in the paper.