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| 基于神经网络的数据融合方法 | |
| 引用本文： | 王楠,李文成,李岩. 基于神经网络的数据融合方法[J]. 光机电信息, 2010, 27(3): 36-42 |
| 作者姓名： | 王楠 李文成 李岩 |
| 作者单位： | 1. 92941部队96分队,辽宁,葫芦岛,125001 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;91245部队43分队,辽宁,葫芦岛,125001 3. 中国科学院长春光学精密机械与物理研究所,吉林,长春,130033 |
| 摘 要： | 作为一种新的方法体系，人工神经网络具有分布并行处理、非线性映射、自适应学习、较强的鲁棒性和容错等特性，这使得它在模式识别、控制优化、智能信息处理以及故障诊断等方面都有广泛的应用。本文对BP神经网络模设计、建立及训练进行了深入的讨论，研究了基于BP神经网络的数据融合的优缺点。 |
| 关 键 词： | 数据融合 神经网络 BP算法 |
Data Fusion Method Based on Neural Network |
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| WANG Nan,LI Wen-cheng,LI Yan. Data Fusion Method Based on Neural Network[J]. OME Information, 2010, 27(3): 36-42 | |
| Authors: | WANG Nan LI Wen-cheng LI Yan |
| Affiliation: | WANG Nan, LI Wen-cheng, LI Yah (1. Army 92941 Brigade 96, Huludao 125001 ,China; 2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033,China; 3. Army 91245 Brigade 43, Huludao 125001 ,China) |
| Abstract: | The continuous attributes of sample data were discretized with self-organizing map neural network. Reduction were performed and the rules were extracted. According to the reducted sample data, BP neural network was designed. The final result of the system was ontputted by fusing the result of rough set data analysis and that of BP neural net. This method was simulated and the experimental results demonstrated its effectiveness. |
| Keywords: | data fusion neural network BP algorithm |
| 本文献已被 维普 万方数据 等数据库收录！ | |
