基于集成堆叠神经网络的某反无人机系统作战效能评估问题研究

Research on Operational Efficiency Evaluation of an Anti-UAV System Based on Ensembled Stacking Neural Network

作战效能是衡量武器装备效用的重要指标,是指挥员在进行指挥决策和科研人员进行装备研制的重要依据。论文首先通过对某反无人机系统进行分析,构建了作战效能评估指标体系;然后利用经典作战效能评估方法——模糊层次分析模型对其作战效能进行了评估,最后在分析经典效能评估方法的基础上,提出一种基于集成堆叠神经网络的作战效能评估模型,该模型在真实数据集上进行了测试。实验结果显示,该模型评估优于经典的效能评估方法和基于单一神经网络的评估方法,具有一定的应用前景。

Operational effectiveness is an important indicator to measure the utility of weapons and equipment,and an impor⁃tant basis for commanders in making command decisions and researchers in making equipment development.This paper first con⁃structs the operational effectiveness evaluation index system by analyzing the anti-UAV system.Then,the classic combat effective⁃ness evaluation method-fuzzy analytic hierarchy process(FAHP)model is used to evaluate its combat effectiveness.Finally,based on the analysis of classical efficiency evaluation methods,a combat effectiveness evaluation model based on an integrated stacked neural network is proposed,which is tested on real data sets.Experimental results show that the proposed model evaluation is better than the classical efficiency evaluation method and that based on a single neural network.