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基于模糊神经网络的直升机多传感器协同管理效能评估方法

  • 张宏斌 ,
  • 鞠艳秋 ,
  • 齐驰 ,
  • 郭宇峰
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  • 陆军航空兵学院,北京 100000

张宏斌(1979—),男,辽宁朝阳人,讲师,博士,研究方向:直升机航电系统,人工智能。

收稿日期: 2020-03-03

  网络出版日期: 2025-02-11

Evaluation Method of Helicopter Sensors Coordination Management Efficiency Based on Fuzzy Neural Networks

  • ZHANG Hongbin ,
  • JU Yanqiu ,
  • QI Chi ,
  • GUO Yufeng
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  • Army Aviation School,Beijing 100000,China

Received date: 2020-03-03

  Online published: 2025-02-11

摘要

为了对直升机多传感器协同管理效能进行准确、客观评估,提出一种采用模糊神经网络推理的评估方法。在分析多传感器协同管理效能评估因素基础上建立了效能评估指标体系,并以评估指标作为模糊神经网络输入,效能评估值为输出。对模糊神经网络进行自适应训练后,获取了各指标隶属度函数。算例验证表明,该方法能够实现多传感器协同管理效能有效评估。对进一步提升直升机多传感器协同管理技术提升具有一定的参考价值。

本文引用格式

张宏斌 , 鞠艳秋 , 齐驰 , 郭宇峰 . 基于模糊神经网络的直升机多传感器协同管理效能评估方法[J]. 弹箭与制导学报, 2021 , 41(1) : 88 -90 . DOI: 10.15892/j.cnki.djzdxb.2021.01.019

Abstract

In order to correct and credible evaluate the helicopter sensors coordination management efficiency, a method based on fuzzy neural networks is proposed in this paper. At first, the efficiency evaluation index system is established based on analyzing the factors of sensors management efficiency evaluation. Then, the efficiency evaluation index is used as the input of fuzzy neural networks. After the fuzzy neural networks self-adaptive training, the membership function of each index is achieved. The example results show that the method is effective, and the efficiency of helicopter sensors coordination management can be evaluated reliable by this method.

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