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0548681 - ÚFM 2022 RIV CH eng J - Journal Article
Khalaj, O. - Ghobadi, M. - Saebnoori, E. - Zarezadeh, A. - Shishesaz, M. - Mašek, B. - Stadler, C. - Svoboda, Jiří
Development of Machine Learning Models to Evaluate the Toughness of OPH Alloys.
Materials. Roč. 14, č. 21 (2021), č. článku 6713. E-ISSN 1996-1944
R&D Projects: GA ČR GX21-02203X
Institutional support: RVO:68081723
Keywords : artificial neural-networks * mechanical-properties * sensitivity-analysis * compressive strength * new-generation * grain-growth * ods steel * regression * prediction * microstructure * Oxide Precipitation-Hardened (OPH) alloys * tensile test * toughness * artificial neural network (ANN) * particle swarm optimization * anfis * Fe-Al-O
OECD category: Thermodynamics
Impact factor: 3.748, year: 2021
Method of publishing: Open access
https://www.mdpi.com/1996-1944/14/21/6713
Permanent Link: http://hdl.handle.net/11104/0324865