基于模糊-神经网络的甲醛电子鼻
Formaldehyde Electronic Nose Based on the Fuzzy Neural Network
Abstract
基于模糊-神经网络的甲醛电子鼻,采用气体传感器阵列和模糊-神经网络结合,实现了模糊-神经网络在甲醛电子鼻中的定量识别.并通过实验,对于0.01x10-6~50x10-6浓度范围内的甲醛气体,甲醛电子鼻定量测报的平均相对误差小,仅为0.197086. This paper reports an electronic nose for the determination of formaldehyde based on the fuzzy neural network.By combining a gas sensor array with the fuzzy neural network,the fuzzy neural network model is applied to the quantitative analysis in the formaldehyde electronic nose,which is realized in this paper.The experiment shows a small mean relative error of 0.197 086 in the range of 0.01×10-6--50×10-6.