Skip navigation
BelSU DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/24328
Full metadata record
DC FieldValueLanguage
dc.contributor.authorIvashchuk, O. A.-
dc.contributor.authorFedorova, V. I.-
dc.contributor.authorShcherbinina, N. V.-
dc.contributor.authorMaslova, E. V.-
dc.contributor.authorShamraeva, E. О.-
dc.date.accessioned2019-02-06T08:19:33Z-
dc.date.available2019-02-06T08:19:33Z-
dc.date.issued2018-
dc.identifier.citationMicroclonal propagation of plant process modeling and optimization of its parameters based on neural network / O.A. Ivashchuk [и др.] // Drug Invention Today. - 2018. - Vol. 10, Spec.Is. 3.-P. 3170-3175.ru
dc.identifier.urihttp://dspace.bsu.edu.ru/handle/123456789/24328-
dc.description.abstractThis article describes the development and study of the models of neural networks for the evaluation and prediction of the results of the sterilization stage. These results allow to optimize its parameters and to conduct a required amount of simulation experiment with simultaneous changes of several (including all) parametersru
dc.language.isoenru
dc.subjectbiologyru
dc.subjectbotanyru
dc.subjectrare plantsru
dc.subjectendangered plantsru
dc.subjecteplant physiologyru
dc.subjectmicropropagationru
dc.subjectartificial neural networksru
dc.subjectmicroclonal propagationru
dc.subjectmodelingru
dc.subjectoptimizationru
dc.subjectsimulation experimentru
dc.subjectsterilization of plant explantsru
dc.titleMicroclonal propagation of plant process modeling and optimization of its parameters based on neural networkru
dc.typeArticleru
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

Files in This Item:
File Description SizeFormat 
Ivashchuk_Microclonal_18.pdf404.95 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.