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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
7
|
| pubmed:dateCreated |
1998-7-27
|
| pubmed:abstractText |
ART1 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.
|
| pubmed:language |
chi
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:chemical | |
| pubmed:status |
MEDLINE
|
| pubmed:month |
Jul
|
| pubmed:issn |
1001-5302
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
21
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
391-3, 446
|
| pubmed:dateRevised |
2008-2-6
|
| pubmed:meshHeading |
pubmed-meshheading:9642386-Drugs, Chinese Herbal,
pubmed-meshheading:9642386-Fabaceae,
pubmed-meshheading:9642386-Neural Networks (Computer),
pubmed-meshheading:9642386-Plants, Medicinal,
pubmed-meshheading:9642386-Quality Control,
pubmed-meshheading:9642386-Spectrophotometry, Ultraviolet,
pubmed-meshheading:9642386-Spectroscopy, Fourier Transform Infrared
|
| pubmed:year |
1996
|
| pubmed:articleTitle |
[Application of adaptive resonance theory network to the quality evaluation of radix Sophorae flavescentis].
|
| pubmed:affiliation |
Beijing University of Traditional Chinese Medicine.
|
| pubmed:publicationType |
Journal Article,
English Abstract
|