Parameter Optimization of Support Vector Machine to Improve the Predictive Performance for Determination of Aflatoxin B
aflatoxin B1
determination
feature optimization
olfactory visualization technique
peanut
Journal
Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009
Informations de publication
Date de publication:
09 Oct 2022
09 Oct 2022
Historique:
received:
07
09
2022
revised:
07
10
2022
accepted:
08
10
2022
entrez:
14
10
2022
pubmed:
15
10
2022
medline:
18
10
2022
Statut:
epublish
Résumé
This study proposes a novel method for detection of aflatoxin B
Identifiants
pubmed: 36235267
pii: molecules27196730
doi: 10.3390/molecules27196730
pmc: PMC9573054
pii:
doi:
Substances chimiques
Coloring Agents
0
Aflatoxin B1
9N2N2Y55MH
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Key Research and Development Program of China
ID : 2017YFC1600603
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