Cooperative Combat Effectiveness Assessment of High-Power Microwave Weapons and Medium- and Short-Range Air Defense Weapons Based on Fuzzy Wavelet Neural Networks

被引：0
|
作者：
Li Y. [1 ]
Zheng C. [2 ]
Teng Z. [3 ]
Gu X. [1 ]
Luo R. [1 ]
Xin Z. [1 ]
机构：
[1] Unit 91054 of PLA, Beijing
[2] School of Mechanical Engineering, Nanjing University of Science and Technology, Jiangsu, Nanjing
[3] Dalian Naval Academy, Liaoning, Dalian
来源：
Binggong Xuebao/Acta Armamentarii | 2022年 / 43卷
关键词：
cooperative air defence; effectiveness assessment; fuzzy wavelet neural network; high-power microwave weapons; medium- and short-range air defence weapons; system contribution;
D O I：
10.12382/bgxb.2022.B005
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To improve the air defence capability of ships at sea, and to meet the challenges brought by the development of weapons and equipment technology, a research method was proposed based on the cooperative combat effectiveness of high-power microwave weapons (HPM) and medium- and short-range air defence weapons. The network was trained with the pre-processed data, its effectiveness was evaluated and the contribution rate of the HPM system was calculated after convergence. The results showed that the incorporation of HPM can improve the effectiveness of medium- and short-rangeair defence weapons and enhance the ships’ overall combat capability. © 2022 China Ordnance Society. All rights reserved.
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页码：87 / 96
页数：9
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