摘要
介绍了基于模糊神经网络(FNN)的气体检测系统。通过该系统,对甲醛气体进行了定量检测分析。实验结果表明:该系统能以较高的精度检测出气体的浓度,有一定的实用性。
An experiment system for gas detection based on fuzzy neural network （FNN） is introduced in this paper.The quantitative detection and analysis for formaldehyde are processed by this experiment system.Experiment results show clearly that this system can detect gas concerntration in high precision and has high practicality.
出处
《传感器世界》
2006年第3期30-32,36,共4页
Sensor World
关键词
模糊神经网络
气体传感器
定量检测
fuzzy neural network
gas sensors
quantitative detection
