摘要
通过气体传感器阵列组成的气体信号采样系统,可获得汽油样本信号。在此基础上,利用人工神经网络对之进行定性分析,可鉴别汽油型号。文章介绍了汽油识别原理和定性分析算法的实现,实验结果表明该方法是正确的。
Byusing the system of sampling gas signal with gas sensor array, the signals of the diverse gasoline are obtained. On the basis of this system, artificial neural network is used to perform qualitative analysis and identify type of gasoline. In this paper, the gasoline recognition method and algorithm implementation are introduced. The experimental result shows the proposed technique is true.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第11期151-152,161,共3页
Computer Engineering
关键词
气体传感器阵列
定性分析
前馈神经网络
汽油鉴别
Gas sensor array
Qualitative analysis
Feed forward neural network
Gasoline recognition