摘要
现代战场中无人机作战需求方案质量评估的影响因素日益复杂,传统质量评估方法已不能满足要求,而组合智能评估方法集成多种方法的优势,能有效解决复杂系统评估问题。综合考虑无人机系统自身的性能因素和战场环境对无人机的影响,构建了多层次的无人机作战需求方案质量评估指标体系,研究了组合智能评估方法在无人机作战需求方案质量评估中的应用,设计了基于神经网络的智能模型和基于改进熵值法的传统模型,并运用实例验证了组合智能评估方法的有效性和可行性。
In modern battlefields,evaluation on the quality of operational requirement plan of unmanned aerial vehicle becomes more and more complicated.Traditional evaluation method can not meet this requirements while compound intelligent evaluation method has advantages of many other methods so that it can effectively solve out complicated issues of system evaluation.By comprehensively considering the performance factors of unmanned aerial vehicle and the influence of battlefield environment on unmanned aerial vehicle,the paper builds up a multi-layer quality evaluation indicator system for operational requirement plan of unmanned aerial vehicle,researches the applications of compound intelligent evaluation method in this respect,designs an intelligent model based on neural network and a traditional model based on improved entropy method and verifies the effectiveness and feasibility of this compound intelligent evaluation method with real cases.
出处
《装备学院学报》
2015年第6期28-32,共5页
Journal of Equipment Academy
基金
国家自然科学基金资助项目(71371187)
关键词
组合智能模型
无人机
作战需求方案
质量评估方法
compound intelligent model
unmanned aerial vehicle
operational requirement plan
quality evaluation method
