| 基于神经网络的传感器非线性校正方法 |
| |
| 引用本文： | 李增芳,傅彩云.基于神经网络的传感器非线性校正方法[J].农机化研究,2004(4):165-167. |
| |
| 作者姓名： | 李增芳 傅彩云 |
| |
| 作者单位： | 1. 浙江大学,生物系统工程系,浙江,杭州,310029
2. 浙江大学,医学院附属邵逸夫医院,浙江,杭州,310016 |
| |
| 基金项目： | 浙江省教育厅资助项目(21388) |
| |
| 摘 要： | BP神经网络是基于数值计算的知识处理系统，具备高度非线性映射的能力。为此，通过BP神经网络对样本数据进行训练，得到非线性校正模型及精度值，然后与传统的曲线拟合方法进行比较分析。结果显示，基于神经网络模型的传感器非线性校正方法具有良好的测试精度和实用性。
|
| 关 键 词： | 神经网络 传感器 非线性校正方法 人工智能 |
| 文章编号： | 1003-188X(2004)04-0165-03 |
| 修稿时间： | 2003年10月27 |
Study on the Nonlinear Errors Correction Methods of Sensors Based on Neural Network |
| |
| LI Zeng-fang,FU Cai-yun.Study on the Nonlinear Errors Correction Methods of Sensors Based on Neural Network[J].Journal of Agricultural Mechanization Research,2004(4):165-167. |
| |
| Authors: | LI Zeng-fang FU Cai-yun |
| |
| Institution: | LI Zeng-fang1,FU Cai-yun2 |
| |
| Abstract: | BP neural network is an acknowledge processing system based on the numerical calculation with high ability of nonlinear reflection. The nonlinear correction model and precision value was obtained by training the sample data with BP neural network. With the comparison of BP method and curve fitting method, it is presented that the nonlinear correction method based on neural network has high measurement precision and practicality. |
| |
| Keywords: | artificial intelligence nonlinear errors correction application BP neural network sensors |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
