摘要
本文用具有不同特性的非选择性气敏元件组成气敏陈列，结合神经网络模式识别和信息处理技术，进行混合气体识别和浓度定量检测。着重说明神经网络模式识别法在气敏阵列信号处理中的应用。
In this paper, the study on recognition of components in mixed gases and quantitative measurement of their concentration by usingan array composed of non-selective gas senSors with different sensitivity,neural-network pattern recognition and information processing techniques are cdrried out.The method of neural-network pattern recognition applied for data processirig in the gas seiising array is described in detail .
出处
《功能材料与器件学报》
CAS
CSCD
1996年第3期187-193,共7页
Journal of Functional Materials and Devices
关键词
气敏阵列
神经网络
智能
传感器
气体传感器
Gas sensitive array,neural network,intelligent seiisor, gas recognition and detection
