基于模糊小波神经网络的高功率微波武器与中近程防空武器协同作战效能评估

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

为提升舰艇在海面的防空作战能力,针对武器装备技术发展对防空作战带来的挑战,提出一种基于高功率微波武器(HPM)与中近程防空武器协同作战效能研究方法。用该方法分析构建协同作战效能评估指标,论证模糊小波神经网络原理及动态学习率。设计多武器协同防空任务想定及拦截方案,对评估数据进行量化及归一化,并运用预处理后的数据对网络进行训练,待其收敛后进行效能评估及HPM体系贡献率计算。研究结果表明:加入HPM能够提升中近程防空武器协同作战效能,提升舰艇综合作战能力。

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.