| 一种神经网络热导气体传感器的设计 |
| |
| 引用本文： | 田增国. 一种神经网络热导气体传感器的设计[J]. 国外电子测量技术, 2009, 28(4): 57-59 |
| |
| 作者姓名： | 田增国 |
| |
| 作者单位： | 郑州大学物理工程学院,郑州,450001 |
| |
| 摘 要： | 为了克服环境温度对热导气体测量的影响，设计一种基于BP神经网络的热导气体传感器。本文介绍了神经网络的热导气体传感器的测量原理和总体设计，利用BP网络实现了热导气体测量的温度和气体压力补偿。实验结果表明，提高了热导气体测量的精度和稳定性。具有较高的实用价值。
|
| 关 键 词： | BP网络 智能传感器 热导气体 温度补偿 |
Thermal-conduct gas smart sensor designed based on BP neural networks |
| |
| Tian Zengguo. Thermal-conduct gas smart sensor designed based on BP neural networks[J]. Foreign Electronic Measurement Technology, 2009, 28(4): 57-59 |
| |
| Authors: | Tian Zengguo |
| |
| Affiliation: | School of Physical Science & Technology;Zhengzhou University;Zhengzhou 450001;China |
| |
| Abstract: | In order to overcome the impact of environment temperature to measuring thermal-conduct gas,a Thermal-conduct gas smart sensor is designed in this paper.It's measurement principle and total design are introduced.The accuracy and the stability of the thermal-conduct gas measurement is improved by compensating environment temperature and gas force with BP Neural Networks.It has higher applied value. |
| |
| Keywords: | BP artificial neural networks smart sensor thermal-conduct gas temperature compensation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
