| 主成分分析法和Fisher判别方法在汽油分类分析过程中的应用 |
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| 引用本文： | 王荣辉,宗若雯,王正洲,廖光煊. 主成分分析法和Fisher判别方法在汽油分类分析过程中的应用[J]. 中国科学技术大学学报, 2006, 36(12): 1331-1335,1341 |
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| 作者姓名： | 王荣辉 宗若雯 王正洲 廖光煊 |
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| 作者单位： | 中国科学技术大学火灾科学国家重点实验室,安徽合肥,230027 |
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| 基金项目： | 国家自然科学基金，国家重点基础研究发展计划(973计划) |
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| 摘 要： | 应用主成分分析(principal component analysis,PCA)法对从90#和93#两种汽油的50个实验样所取的特征数据进行降维处理,再结合Fisher判别方法对这两种汽油进行分类,并将分类结果与不采用PCA法而直接计算数据所得出的Fisher判别结果进行比较,前者的分类正确率达到100%,而后者却只有50%.结果说明采用PCA方法事先对数据处理可以大大的提高汽油分类的准确性.
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| 关 键 词： | 主成分分析 Fisher判别方法 汽油 |
| 文章编号： | 0253-2778（2006）12-1331-05 |
| 收稿时间： | 2006-06-13 |
| 修稿时间： | 2006-06-132006-08-28 |
Application of principal component analysis and Fisher discrimination method in the classification of gasoline |
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| WANG Rong-hui,ZONG Ruo-wen,WANG Zheng-zhou,LIAO Guang-xuan. Application of principal component analysis and Fisher discrimination method in the classification of gasoline[J]. Journal of University of Science and Technology of China, 2006, 36(12): 1331-1335,1341 |
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| Authors: | WANG Rong-hui ZONG Ruo-wen WANG Zheng-zhou LIAO Guang-xuan |
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| Affiliation: | State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China |
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| Abstract: | Principal component analysis(PCA) and Fisher discrimination method were applied to studying the classification of 90# and 93# gasoline using gas chromatography-mass spectrometry(GC-MS) spectral data.It was found that when both methods were used in calculating the dataset,all the samples were classified,while when the Fisher discrimination method alone was used,only 50% of the samples were correctly classified.It shows that when PCA is used in pre-disposal of the dataset,the accuracy of classification of gasoline is improved noticeably. |
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| Keywords: | principal component analysis Fisher discrimination method gasoline |
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