| 具有人工神经网络的目标数据分类 |
| |
| 引用本文： | 单甘霖,李罗文,郭治.具有人工神经网络的目标数据分类[J].南京航空航天大学学报,1994(Z1). |
| |
| 作者姓名： | 单甘霖 李罗文 郭治 |
| |
| 作者单位： | 南京理工大学自控系 |
| |
| 摘 要： | 根据人工神经网络自适应共振模型的基本原理，针对空中交通管制系统中辨识空中飞行目标运动轨迹这一实际问题的具体需求，提出了基于多重置条件的空中目标分类方法。在自适应共振模型中的重置条件判别方法中，该方法不同于目标矢量的相似度判别方法，而是采用比较目标矢量夹角及模值的大小来决定其自适应共振模型中的重置触发条件的新方法。仿真结果表明，该方法能很好地解决空中目标的分类问题。
|
| 关 键 词： | 空中交通管制，神经网络，目标分类，多目标跟踪，航迹辨识 |
Air-Target Classification with Artifical Neural Network |
| |
| Shan Ganlin,Li Luowen,Guo Zi.Air-Target Classification with Artifical Neural Network[J].Journal of Nanjing University of Aeronautics & Astronautics,1994(Z1). |
| |
| Authors: | Shan Ganlin Li Luowen Guo Zi |
| |
| Abstract: | An artifical neural network method with multiple reset parameters is presented to slove the practical problem of identification of air-target in air-traffic control system according to the principle of adaptive resonance.The method is different from the one in Raf3]in determining the similarity of target vectors when reset condition is calculated.The reset parameters in the new method is decided by the angle of target vectors and their norms. Simulation example shows the new method is proper to solve the problems of classifiCation of the air targets. |
| |
| Keywords: | air-traffic control neural network target classification multi-target tracking flight trace identification |
| 本文献已被 CNKI 等数据库收录！ |
