| 防空导弹无线电引信目标识别优化分析 |
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| 引用本文： | 韦道知,何广军,夏训辉,曾华. 防空导弹无线电引信目标识别优化分析[J]. 弹箭与制导学报, 2009, 29(1) |
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| 作者姓名： | 韦道知 何广军 夏训辉 曾华 |
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| 作者单位： | 1. 空军工程大学导弹学院,陕西三原,713800
2. 驻3531厂军事代表室,贵阳,550000 |
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| 摘 要： | 提出了用人工免疫算法优化RBF网络隐含层的性能参数,以及用最小二乘法确定RBF网络的线性输出层的权值,建立了基于人工免疫算法的两级RBF网络混合训练学习的算法机制;采用所建立的两级RBF网络混合训练学习机制对引信的定向探测进行了优化研究,并通过计算机仿真给出了该方法在目标方位识别方面的优越性。
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| 关 键 词： | 无线电引信 人工免疫算法 RBF网络 目标识别 防空导弹 |
Analysis on Radil Fuse Target Identification Optimization of Ground-to-air Missile |
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| WEI Daozhi,HE Guangjun,XIA Xunhui,ZENG Hua. Analysis on Radil Fuse Target Identification Optimization of Ground-to-air Missile[J]. Journal of Projectiles Rockets Missiles and Guidance, 2009, 29(1) |
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| Authors: | WEI Daozhi HE Guangjun XIA Xunhui ZENG Hua |
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| Affiliation: | 1 The Missile Institute;Air Force Engineering University;Shaanxi Sanyuan 713800;China;2 Military Representative Office in No.3531 Factory;Guiyang 550000;China |
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| Abstract: | The parameter optimization of the RBF nerve network through artificial immune algorism is proposed,and the weight of RBF network linear output layer through least aquaria method is confirmed.The hybrid train and learn algorism of two-layer RBF network based on artificial immune algorism is built;the proposed method is used to optimize the oriented detection of radio fuze;and the superiority of the optimization method is given through the computer simulation. |
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| Keywords: | radio fuze artificial immune algorism RBF neural network target identification ground-to-air missile |
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