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pubmed-article:9642386pubmed:abstractTextART1 and ART2 models of adaptive resonance theory network have been employed in quality evaluation of 40 Radix Sophorae Flavescentis samples collected from different regions of China. Based on the UV data of MeOH extract and IR data of CHCL3 extract, Shannon information theory has been used for feature selection. The results consist with those of traditional appraisal.lld:pubmed
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pubmed-article:9642386pubmed:authorpubmed-author:WangXXlld:pubmed
pubmed-article:9642386pubmed:authorpubmed-author:ZhangLLlld:pubmed
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pubmed-article:9642386pubmed:pagination391-3, 446lld:pubmed
pubmed-article:9642386pubmed:dateRevised2008-2-6lld:pubmed
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pubmed-article:9642386pubmed:articleTitle[Application of adaptive resonance theory network to the quality evaluation of radix Sophorae flavescentis].lld:pubmed
pubmed-article:9642386pubmed:affiliationBeijing University of Traditional Chinese Medicine.lld:pubmed
pubmed-article:9642386pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:9642386pubmed:publicationTypeEnglish Abstractlld:pubmed