| 基于神经网络的动态测量误差分解研究 |
| |
| 引用本文： | 李晓惠,陈晓怀,卫兵. 基于神经网络的动态测量误差分解研究[J]. 工业计量, 2005, 15(6): 6-9 |
| |
| 作者姓名： | 李晓惠 陈晓怀 卫兵 |
| |
| 作者单位： | 合肥工业大学,仪器仪表学院,安徽,合肥,230009 |
| |
| 基金项目： | 国家自然科学基金（50275047） |
| |
| 摘 要： | 在讨论神经网络方法的基础上，尝试将其应用于动态测量误差分解理论。建立了一个简单的动态测试仿真系统，分别用小波变换方法和神经网络方法对系统输出的总误差进行分解，并对两种方法的处理结果作了比较，指出了神经网络方法在动态误差分解中的实用性和优越性。
|
| 关 键 词： | 动态误差分解 神经网络 自适应线性元件 小波变换 |
| 文章编号： | 1002-1183（2005）06-0006-04 |
| 收稿时间： | 2005-02-22 |
| 修稿时间： | 2005-08-28 |
Research on error decomposition of dynamic measurement based on neural network method |
| |
| LI Xiao-hui,CHEN Xiao-huai,WEI Bing. Research on error decomposition of dynamic measurement based on neural network method[J]. Industrial Measurement, 2005, 15(6): 6-9 |
| |
| Authors: | LI Xiao-hui CHEN Xiao-huai WEI Bing |
| |
| Affiliation: | School of Instrumentatin, Hefei University of Technology, Hefei 230009, China |
| |
| Abstract: | Neural network method is discussed and applied to error decomposition theory of dynamic measurement. Based on a simple simulation system of dynamic measurement, the decomposition of the output error of this system are performed by using the wavelet transform and the neural network method. The results of the two analysis methods are compared, Advantage and practicability of the neural network method in the decomposition of dynamic error are given. |
| |
| Keywords: | dynamic error decomposition neural network adaptive linear element wavelet transform |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
