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| 基于神经网络的光电系统空中目标威胁估计 | |
| 引用本文： | 罗艳春,郭立红,王凤仙,吕雪燕.基于神经网络的光电系统空中目标威胁估计[J].计算机测量与控制,2008,16(2):212-214,217. |
| 作者姓名： | 罗艳春 郭立红 王凤仙 吕雪燕 |
| 作者单位： | 1. 中国科学院,长春光学精密机械与物理研究所,吉林,长春,130033;中国科学院,研究生院,北京,100039;空军航空大学,北京,130022 2. 中国科学院,长春光学精密机械与物理研究所,吉林,长春,130033 3. 空军航空大学,北京,130022 |
| 基金项目： | 中科院二期创新项目(C04708Z) |
| 摘 要： | 结合光电干扰武器系统的工作过程,对影响目标威胁评估的各种因素进行了分析,讨论了常用威胁评估方法的缺点和不足,提出了基于神经网络的空中目标的威胁估计算法,利用神经网络良好的自适应能力和自学习能力,通过样本数据训练,确定各个因素之间的非线性复杂关系,并通过示例介绍了目标威胁值的解算过程;与层次分析法进行了比较,结果表明,神经网络可以很好地逼近各个因素之间的权重关系,提高了空中目标威胁估计算法的准确性和适应性。 |
| 关 键 词： | 威胁估计 神经网络 BP算法 光电干扰武器系统 |
| 文章编号： | 1671-4598（2008）02-0212-03 |
| 收稿时间： | 2007-05-14 |
| 修稿时间： | 2007-06-27 |
Threat Assessment for Aerial Target of Photoelectric System Based on Neural Network |
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| Luo Yanchun,Guo Lihong,Wang Fengxian,Lv Xueyan.Threat Assessment for Aerial Target of Photoelectric System Based on Neural Network[J].Computer Measurement & Control,2008,16(2):212-214,217. | |
| Authors: | Luo Yanchun Guo Lihong Wang Fengxian Lv Xueyan |
| Affiliation: | 1.Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China;2.Graduate School of Chinese Academy of Sciences,Beijing 100039,China;3.Aviation University of Air Force,Changchun 130022,China) |
| Abstract: | This paper analyzed factors which affect threat assessment,discussed the defeat and shortage of general way for menace assessment and presented a threat assessment algorithm for Aerial Target based on Neural Network.By utilizing the good abilities of adapting and self-leaning and samples training,the networks approximated the nonlinear complex relationship of all factors.The process of solution is given by instantiation.Compared with AHP,the results show that BP neural network can successfully approximate the weights of all factors and the accuracy and adaptability of the threat assessment algorithm are improved. |
| Keywords: | threat assessment neural network BP algorithm photoelectric interferential weapon system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |