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Volumn 25, Issue 3, 2001, Pages 301-307
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Recognition of environmental and genetic effects on barley phenolic fingerprints by neural networks
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Author keywords
Artificial neural network; Barley; Growth conditions; High performance liquid chromatography; Mildew resistance; Network pruning; Phenolic compounds
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Indexed keywords
BIOCIDES;
GENETIC ENGINEERING;
GROWTH (MATERIALS);
LIQUID CHROMATOGRAPHY;
NEURAL NETWORKS;
NITROGEN FERTILIZERS;
BARLEY PHENOLIC FINGERPRINTS;
PLANTS (BOTANY);
AMMONIUM NITRATE;
FERTILIZER;
FUNGICIDE;
NITRATE;
PHENOL DERIVATIVE;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BARLEY;
CHEMISTRY;
CHROMATOGRAPHY;
COMPARATIVE STUDY;
GENETICS;
GROWTH, DEVELOPMENT AND AGING;
HIGH PERFORMANCE LIQUID CHROMATOGRAPHY;
METHODOLOGY;
SPECIES DIFFERENCE;
CHROMATOGRAPHY;
CHROMATOGRAPHY, HIGH PRESSURE LIQUID;
FERTILIZERS;
FUNGICIDES, INDUSTRIAL;
HORDEUM;
NEURAL NETWORKS (COMPUTER);
NITRATES;
PHENOLS;
SPECIES SPECIFICITY;
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EID: 0034744528
PISSN: 00978485
EISSN: None
Source Type: Journal
DOI: 10.1016/S0097-8485(00)00103-0 Document Type: Article |
Times cited : (7)
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References (32)
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