基于BP神经网络的无人机对海侦察作战效能评估  

Evaluation of the Operational Effectiveness of UAV in Sea Reconnaissance Based on BP Neural Network

作　　者：寇昆湖 刘登攀 王超 鹿珂珂 KOU Kunhu;LIU Dengpan;WANG Chao;LU Keke(Naval Aviation University,Yantai 264001)

机构地区：[1]海军航空大学,烟台264001

出　　处：《舰船电子工程》2024年第12期145-148,共4页Ship Electronic Engineering

摘　　要：针对传统效能评估方法过度依赖专家经验、主观性强的问题,在深入分析无人机执行对海侦察任务的基础上,构建了无人机对海侦察作战效能评估指标体系;分析了BP神经网络用于效能评估的可行性,并构建了BP神经网络评估模型;最后,利用Matlab实现了实例验证评估。评估结果表明:BP神经网络模型评估结果与期望值一致,验证了BP神经网络在无人机对海侦察作战效能评估中的有效性。Aiming at the problems of over-reliance on experts'experience and strong subjectivity of traditional effectiveness assessment methods,based on the in-depth analysis of UAVs performing sea reconnaissance missions,a UAV sea reconnaissance combat effectiveness assessment index system is constructed.The feasibility of BP neural network used in the effectiveness assess⁃ment is analyzed and a BP neural network assessment model is constructed.Finally,an example validation assessment is realized by using Matlab.The assessment results show that the BP neural network model assessment results are consistent with the expected val⁃ue,which verifies the effectiveness of BP neural network in the assessment of UAV's effectiveness in sea reconnaissance operations.

关 键 词：无人机 对海侦察 作战效能评估 BP神经网络 

分 类 号：V279[航空宇航科学与技术—飞行器设计]