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基于模糊-神经网络的甲醛电子鼻
Formaldehyde Electronic Nose Based on the Fuzzy Neural Network

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Date
2009
Author
邓小艳
黄元庆
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  • 航空航天-已发表论文 [2242]
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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.
 
Citation
厦门大学学报(自然科学版),2009,(5):74-77
URI
https://dspace.xmu.edu.cn/handle/2288/105151

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