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主成分分析法综合评价面条品质 被引量:3

On the Comprehensive Evaluation of Noodle Quality by Principal Component Analysis
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摘要 对29个中国北方的推广小麦品种制作的干白面条14个品质指标进行了全面测定,采用主成分分析法提取5个主成分指标构建数学评价模型,综合评价面条的各种品质,优选出了泰山23、洛展1号、豫农949、太空6号等优质的面条专用小麦品种。 14 quality indexes of the dry white noodle made of 29 wheat breeds extended in North China were determined wholly, the mathematical evaluation model was set up based on 5 main component indexes selected by Principal Component Analysis (PCA) for evaluating comprehensively various qualities of the noodle and choosing the high - quality wheat breeds specially for noodle, such as Taishan 23, Luozhan 1, Yunong 949, Taikong 6 and so on.
出处 《粮食与饲料工业》 CAS 北大核心 2007年第8期17-19,共3页 Cereal & Feed Industry
基金 河南省科技攻关项目的部分内容(0624010003)
关键词 主成分分析 综合评价 面条 品质 小麦品种 principal component analysis comprehensive evaluation noodle quality wheat breed
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