<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-5FV06N6D</identifier><date>2021</date><creator>Fan, Xingyue</creator><relation>documents/doc/5/URN_NBN_SI_doc-5FV06N6D_001.pdf</relation><relation>documents/doc/5/URN_NBN_SI_doc-5FV06N6D_001.txt</relation><format format_type="issue">2</format><format format_type="volume">55</format><format format_type="type">article</format><format format_type="extent">str. 263-268</format><identifier identifier_type="DOI">10.17222/mit.2020.174</identifier><identifier identifier_type="ISSN">1580-2949</identifier><identifier identifier_type="COBISSID_HOST">60901635</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-5FV06N6D</identifier><language>eng</language><publisher publisher_location="Ljubljana">Inštitut za kovinske materiale in tehnologije</publisher><source>Materiali in tehnologije</source><rights>InC</rights><subject language_type_id="slv">ABO3-tip perovskitov</subject><subject language_type_id="eng">ABO3-type perovskites</subject><subject language_type_id="eng">formation energy</subject><subject language_type_id="eng">hierarchical clustering</subject><subject language_type_id="slv">hierarhično združevanje</subject><subject language_type_id="slv">regresijski model</subject><subject language_type_id="eng">regression model</subject><subject language_type_id="slv">tvorbena energija</subject><title>Napoved tvorbene energije z uporabo dvostopenjskega strojnega učenja na osnovi združevanje</title><title>Prediction of formation energy using two-stage machine learning based on clustering</title></Record>