[1]陈秀丽,赵爱娟,卫世乾.BP神经网络在电子鼻分类识别多品牌白酒中的应用研究[J].江西师范大学学报(自然科学版),2014,(04):358-361.
 CHEN Xiu-li,ZHAO Ai-juan,WEI Shi-qian.The APPlication Research of the BP Neural Network in Electronic Nose Classification and Recognition with Different Brands Liquor[J].,2014,(04):358-361.
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BP神经网络在电子鼻分类识别多品牌白酒中的应用研究()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2014年04期
页码:
358-361
栏目:
出版日期:
2014-08-31

文章信息/Info

Title:
The APPlication Research of the BP Neural Network in Electronic Nose Classification and Recognition with Different Brands Liquor
作者:
陈秀丽;赵爱娟;卫世乾
郑州师范学院化学系,河南 郑州,450000;许昌学院学报编辑部,河南 许昌,461000
Author(s):
CHEN Xiu-li;ZHAO Ai-juan;WEI Shi-qian
关键词:
电子鼻白酒检测传感器阵列BP 神经网络识别率
Keywords:
electronic noseliquor detectionsensor arrayBP neural networkrecognition rate
分类号:
TP212
文献标志码:
A
摘要:
由于 MQ3、MQ4、TGS813、TGS26204个金属氧化物半导体组成的气体传感器阵列对酒精气体及有机物交叉敏感,据此建立实时数据采集系统,并提出稳态特征值和动态特征值的提取方法,进而结合 BP神经网络识别方法,通过所建立的电子鼻系统对3种不同品牌白酒进行了分类识别实验.结果表明:电子鼻系统对不同品牌白酒的识别率稳态特征时达90.0;,动态特征时达83.3;.
Abstract:
Based on the sensors array made up of MQ3、MQ4、TGS813、TGS2620 four metal oxide semiconductor sensors which are cross sensitive to alcohol gas and organic,the real-time data acquisition was established in this pa-per,and the method of the steady and dynamic characteristic value extraction was proposed. Combined with BP neu-ral network recognition,three kinds of liquor were conducted classification experiments by the electronic nose sys-tem. The results show that the recognition rate of electronic nose system is up to 90. 0; under the steady character-istic and 83. 3; under the dynamic characteristic for the different brands of liquor.

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更新日期/Last Update: 1900-01-01