Title:	Potential role of machine learning techniques for modeling the hardness of OPH steels
Authors:	Khalaj, Omid Ghobadi, Moslem Zarezadeh, Alireza Saebnoori, Ehsan Jirková, Hana Chocholatý, Ondřej Svoboda, Jiří
Citation:	KHALAJ, 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.
Issue Date:	2021
Publisher:	Elsevier
Document type:	článek article
URI:	2-s2.0-85095758378 http://hdl.handle.net/11025/43205
ISSN:	2352-4928
Keywords in different language:	Oxide Precipitation Hardened (OPH) steels;Hardness;Heat treatment;artificial neural network (ANN) ANFIS;Fe–Al–O
Abstract in different language:	This 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.
Rights:	Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © Elsevier
Appears in Collections:	Články / Articles (KMM) Články / Articles (RTI) OBD

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