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| Fast Discrimination for Cigarette Style Based on Full Chromatographic Data of Flash GC Electronic Nose |
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| DOI： |
| KeyWord:Flash GC electronic nose support vector machine price class style |
| Author | Institution |
| WU Jun-zhang，ZHAO Sheng-qiao，HAN Bing，ZOU Xiao-yong* |
1.广东中烟工业有限责任公司技术中心;2.中山大学化学与化学工程学院 |
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| Abstract: |
| By utilizing Support Vector Machine(SVM) technique to analyze full chromatographic data of Flash GC，a method was proposed to identify A brand and non-A brand cigarette.Moreover，it can identify cigarettes of different price class，including first，second and third class.Meanwhile，it can also distinguish different price class cigarettes in the same style.It can discriminate A brand cigarettes of Ⅰstyle，Ⅱstyle，Ⅲ style and Ⅴstyle，but Ⅳ style and Ⅴstyle can not be completely distinguished because they are too close.The satisfied predicted results were obtained due to the adoption of liner kernel function and full chromatographic data，because every cigarette sample has its characteristic fingerprint chromatography and full chromatographic data can capture the minute differences among samples. |
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