基于Fisher判别分析的烤烟烟叶质量鉴别模型构建

以SPSS软件为工具，选择10个烟叶质量指标，对52个样品进行聚类分析，将这些样品分为3个组，同时建立了基于Fisher判别函数的烟叶质量鉴别模型，结果表明：对比Fisher判别函数和聚类分析的结果，两者具有很好的一致性，因此，运用这个质量模型对烟叶质量进行评价具有很好的判别性。...

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Bibliographic Details
Published in江西农业学报 Vol. 25; no. 4; pp. 155 - 156
Main Author 王玉胜 扈强 梁荣 张延军 李旭华 文俊 叶为民
Format Journal Article
LanguageChinese
Published 广东中烟工业有限责任公司,广东广州,510145 2013
Subjects
判别分析
烤烟
聚类分析
质量评价
判别分析
烤烟
质量评价
聚类分析
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ISSN1001-8581

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Summary:以SPSS软件为工具，选择10个烟叶质量指标，对52个样品进行聚类分析，将这些样品分为3个组，同时建立了基于Fisher判别函数的烟叶质量鉴别模型，结果表明：对比Fisher判别函数和聚类分析的结果，两者具有很好的一致性，因此，运用这个质量模型对烟叶质量进行评价具有很好的判别性。
Bibliography:Flue -cured tobacco; Quality evaluation; Clustering analysis; Discrimination analysis
36-1124/S
Taking SPSS software as the tool, clustering analysis was performed on 52 tobacco leaf samples by selecting 10 tobacco leaf quality indexes. These samples were divided into three groups. Meanwhile, we constructed the quality identification model of tobacco leaves based on Fisher discrimination analysis. The results showed that Fisher discrimination function and clustering analysis had very good agreement in their analytic results. So it is available for this quality identification model to evaluate the quality of tobacco leaves.
WANG Yu -sheng, HU Qiang, LIANG Rong, ZHANG Yan- jun, LI Xu- hua, WEN Jun, YE Wei -min （China Tobacco Guangdong Industrial Company Limited, Guangzhou 510145, China）
ISSN:1001-8581