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Uporaba metod strojnega učenja za preučevanje odnosov med značilnostmi branik in okoljem = On the use of machine learning methods to study the relationships between tree-ring characteristics and the environmentJevšenak, Jernej ; Džeroski, Sašo ; Levanič, TomRazlične študije so pokazale, da lahko z nelinearnimi metodami bolje opišemo (modeliramo) odnos med branikami in okoljem. V naši študiji smo primerjali (multiplo) linearno regresijo (MLR) in štiri ... nelinearne metode strojnega učenja: modelna drevesa (MT), ansambel bagging modelnih dreves (BMT), umetne nevronske mreže (ANN) in metodo naključnih gozdov (RF). Za primerjavo teh metod modeliranja smo uporabili štiri množice podatkov. Natančnost naučenih modelov smo ocenili z metodo 10-kratnega prečnega preverjanja (ang. 10-fold cross-validation) na naši množici in preverjanjem na dodatni testni množici. Na vseh množicah smo dobili boljše statistične kazalce za nelinearne metode s področja strojnega učenja, s katerimi lahko pojasnimo večji delež variance oz. dobimo manjšo napako. Nobena metoda se ni pokazala kot najboljša v vseh primerih, zato je smiselno predhodno primerjati več različnih metod in nato uporabiti najprimernejšo, npr. za rekonstrukcijo klime.Source: Acta Silvae et Ligni. - ISSN 2335-3112 ([Št.] 114, dec. 2017, str. 21-29)Type of material - article, component partPublish date - 2017Language - slovenianCOBISS.SI-ID - 4998310
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Jevšenak, Jernej | 39600 |
Džeroski, Sašo | 11130 |
Levanič, Tom | 11595 |
Source: Personal bibliographies
and: SICRIS
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