三元气敏阵列和有机溶剂识别
THREE-UNIT GAS-SENSING ARRAY AND ORGANIC SOLVENT DISCRIMINATION
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摘要: 本文用SnO2气敏元件构造了三元阵列,使用k-最近邻和加权k-最近邻两种分类器。结果表明,前一分类器对乙醇和汽油的识别率分别为40％和90％,后一类分类器则分别为70％和90％。模式识别是改善气敏元件选择性的有效途径。
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关键词:
- 气敏元件; 模式识别; 阵列; 最近邻
Abstract: Three-unit array was constructed with SnO2 gas sensors. Two classi-fers, the k-nearest neighbour and the weighted k-nearest neighbour, were used. It is shown that the recognition probability of the former is 40 to ethanol and 90 to gasoline and that of the latter is 70 and 90 respectively. Pattern recognition is an effective method to improve selectivity of gas sensors. -
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