| 神经网络在陀螺漂移误差模型辨识中的应用 |
| |
| 引用本文： | 田蔚风,金志华,陆恺.神经网络在陀螺漂移误差模型辨识中的应用[J].中国惯性技术学报,1998(3). |
| |
| 作者姓名： | 田蔚风 金志华 陆恺 |
| |
| 作者单位： | 上海交通大学 |
| |
| 摘 要： | 神经网络具有很强的自学习、自适应能力及非线性变换特性，为模型的辨识提供了一条十分有效的途径。本文基于反向传播（Back-Propagation）网络的研究，将神经网络应用于陀螺漂移误差模型辨识，通过陀螺的实际测试数据对神经网络的加权进行训练，得到了较为满意的结果。
|
| 关 键 词： | 神经网络 反向传播 陀螺漂移误差模型 |
Application of Neural Network in identifying Gyro Drift Error Model |
| |
| Tian Weifeng, Jin Zhihua, Lu Kai.Application of Neural Network in identifying Gyro Drift Error Model[J].Journal of Chinese Inertial Technology,1998(3). |
| |
| Authors: | Tian Weifeng Jin Zhihua Lu Kai |
| |
| Institution: | Shanghai Jiaotong University |
| |
| Abstract: | Because of having the functions of self - learning adaptiveand nonlinear transformation, neural networks provide an effective way foridentifying model. Based on foe research of Back- Propagation network, aneural network is applied ic identify gyro drift error model and the actual gyro test data are used during network learning in this paper. The result is successful. |
| |
| Keywords: | neural network back - propagation gyro drift error model |
| 本文献已被 CNKI 等数据库收录！ |
