| 用于酒类识别的电子鼻研究 |
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| 引用本文： | 冯金垣,王洪. 用于酒类识别的电子鼻研究[J]. 郑州轻工业学院学报(自然科学版), 2000, 15(4): 17-19 |
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| 作者姓名： | 冯金垣 王洪 |
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| 作者单位： | 华南理工大学,应用物理系,广东,广州,510641 |
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| 摘 要： | 开发了一个能识别酒类的电子嗅觉系统。该系统基于一个由３只具有不同宽谱气敏响应特性的金属氧化物传感器组成的阵列，并由３层前馈神经网络用于分析传感器阵列的输出数据，神经网络采用Ｌevenberg-Marquardt算法训练后，电子嗅觉系统能成功地识别酒精、烈性酒、葡萄酒和啤酒，正确识别率可达９５％。
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| 关 键 词： | 神经网络 酒 识别 电子鼻 气敏传感器 |
| 文章编号： | 1004-1478(2000)04-0017-03 |
| 修稿时间： | 2000-07-10 |
Research of electronic nose for alcohol identification |
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| QIN Shu-ji, H UANG Lin Dept. of Physics,Tongji Univ.,Shanghai ,China. Research of electronic nose for alcohol identification[J]. Journal of Zhengzhou Institute of Light Industry(Natural Science), 2000, 15(4): 17-19 |
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| Authors: | QIN Shu-ji H UANG Lin Dept. of Physics Tongji Univ. Shanghai China |
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| Affiliation: | QIN Shu-ji, H UANG Lin Dept. of Physics,Tongji Univ.,Shanghai 200092,China |
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| Abstract: | A electronic olfactory system has been developed that is capable of discrimina ting among ethanol, spirit, wine and beer. The system is based on an array of 3 discrete in oxide semiconductor sensing elements, each possessing different char acteristics whilst being sensitive to a broad spectrum of gases. Three-layer fo rward-feed neural network is used to analyzing output data from sensor array, a nd is trained by Levenberg-Marquardt algorithm. After training, ethanol, spirit , wine and beer identifications were successfully performed by the system, and t he recognition probability reached 95%. |
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| Keywords: | sensors neural networks alcoholic beverage recognition electronic nose |
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