| Rough集-神经网络系统在信息融合目标识别中的应用 |
| |
| 引用本文： | 曹治国,邹飞勇,吴一飞,张天序. Rough集-神经网络系统在信息融合目标识别中的应用[J]. 华中科技大学学报(自然科学版), 2004, 0(Z1) |
| |
| 作者姓名： | 曹治国 邹飞勇 吴一飞 张天序 |
| |
| 作者单位： | [1]华中科技大学图像识别与人工智能研究所 [2]湖北武汉 |
| |
| 基金项目： | 总装备部预研基金资助项目 |
| |
| 摘 要： | 研究了Rough集和神经网络方法在信息融合目标识别中的应用 .提出将神经网络学习机制引入到Rough集系统 ,同时通过Rough集的条件和决策属性构造神经网络结构 ,并针对三种不同谱段下的三种不同目标图像进行了实验 ,试验表明 ,Rough集 神经网络相结合的识别算法的识别率要明显高于单独使用一种融合算法的识别率 ,训练时间也大大缩短 .
|
| 关 键 词： | Rough集 神经网络 信息融合 目标识别 |
The application of rough-neural network system in target recognition by data fusion |
| |
| Cao Zhiguo Zou Feiyong Wu Yifei Zhang Tianxu Assoc. Prof.. The application of rough-neural network system in target recognition by data fusion[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 2004, 0(Z1) |
| |
| Authors: | Cao Zhiguo Zou Feiyong Wu Yifei Zhang Tianxu Assoc. Prof. |
| |
| Affiliation: | Cao Zhiguo Zou Feiyong Wu Yifei Zhang Tianxu Assoc. Prof., Institute of Pattern Recognition & AI,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China. |
| |
| Abstract: | The application of rough sets combined with neural network method in target recognition by data fusion is developed in this paper. The learning mechanism has been introduced into the rough sets system and the neural network is built up according to the attribute of conditions and the decision rules of the rough sets. Finally, the experiments with three different kinds of target images in three different kinds of spectrums shows that the combination of rough sets and neural network get a much higher recognition rate than taking one data fusion algorithm alone, also, the training time is reduced in large scale. |
| |
| Keywords: | rough sets neural network data fusion target recognition |
| 本文献已被 CNKI 维普 等数据库收录！ |
