三元氣敏陣列和有機溶劑識別
THREE-UNIT GAS-SENSING ARRAY AND ORGANIC SOLVENT DISCRIMINATION
-
摘要: 本文用SnO2氣敏元件構造了三元陣列,使用k-最近鄰和加權k-最近鄰兩種分類器。結果表明,前一分類器對乙醇和汽油的識別率分別為40％和90％,后一類分類器則分別為70％和90％。模式識別是改善氣敏元件選擇性的有效途徑。
-
關鍵詞:
- 氣敏元件; 模式識別; 陣列; 最近鄰
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. -
Persaud K, Dodd G: Nature, 1982, 299 (5881): 352-355.[2]梅濤，何茂彬.采用智能技術提高氣敏傳感器的綜合性能.第二屆全國敏感元件與傳感器學術會議論文集,上海,1991,870-871.[3][3][4]吳沖若,邱潔真,林海安.電子元件,1993,35(1): 26-28.[5]Clifford P. Homogeneous Semiconducting Gas Sensors: A Comprehensive Model. Proc. Meet. on Chemical Sensors, Amsterdam: 1983, 135-146.[6]Horner G, Hierold C. Sensors and Actuators. 1990. B2(2): 173-184.[7]李介谷,蔡國廉.計算機模式識別技術.上海:上海交通大學出版社,1986,47-61.[8]張堯庭,方開泰.多元統(tǒng)計分析引論.北京:科學出版社,1982,393-401.[9]周冠雄.計算機模式識別.統(tǒng)計方法.武漢:華中工學院出版社,1986,46-58.[10]Shurmer H. Sensors and Actuators, 1990, B1(1): 48-53.[11]Muller R. Sensors and Actuators, 1991, B4(1): 35-39. -
計量
- 文章訪問數(shù): 1916
- HTML全文瀏覽量: 78
- PDF下載量: 353
- 被引次數(shù): 0
下載:
