Potential role of machine learning techniques for modeling the hardness of OPH steels

dc.contributor.authorKhalaj, Omid
dc.contributor.authorGhobadi, Moslem
dc.contributor.authorZarezadeh, Alireza
dc.contributor.authorSaebnoori, Ehsan
dc.contributor.authorJirková, Hana
dc.contributor.authorChocholatý, Ondřej
dc.contributor.authorSvoboda, Jiří
dc.date.accessioned2021-05-17T10:00:19Z
dc.date.available2021-05-17T10:00:19Z
dc.date.issued2021
dc.description.abstract-translatedThis paper examines the influence of Johannes Crato and the seminal treatises on medicine and botany written by leading Central European scholars during the early modern period on the erudition and genesis of poetic work of the Elizabethan poet Philip Sidney. Johannes Crato (1519-1585), later von Krafftheim, who originally comes from Breslau, is known to be the physician of all three Habsburg emperors, i.e. Ferdinand I., Maximilian II. and Rudolph II., and is a part of the Camerarius-Languet circle, as such have a huge influence within the European intellectual network.en
dc.format12 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationKHALAJ, O. GHOBADI, M. ZAREZADEH, A. SAEBNOORI, E. JIRKOVÁ, H. CHOCHOLATÝ, O. SVOBODA, J. Potential role of machine learning techniques for modeling the hardness of OPH steels. Materials Today Communications, 2021, roč. 26, č. March 2021. ISSN 2352-4928.cs
dc.identifier.document-number634320600004
dc.identifier.doi10.1016/j.mtcomm.2020.101806
dc.identifier.issn2352-4928
dc.identifier.obd43930714
dc.identifier.uri2-s2.0-85095758378
dc.identifier.urihttp://hdl.handle.net/11025/43205
dc.language.isoenen
dc.project.IDGA17-01641S/Zlepšení vlastností a komplexní charakterizace nové generace oxidy precipitačně vytvrzených ocelí na bázi Fe-Al-Ocs
dc.publisherElsevieren
dc.relation.ispartofseriesMaterials Today Communicationsen
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelům.cs
dc.rights© Elsevieren
dc.rights.accessrestrictedAccessen
dc.subject.translatedOxide Precipitation Hardened (OPH) steelsen
dc.subject.translatedHardnessen
dc.subject.translatedHeat treatmenten
dc.subject.translatedartificial neural network (ANN) ANFISen
dc.subject.translatedFe–Al–Oen
dc.titlePotential role of machine learning techniques for modeling the hardness of OPH steelsen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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