Prediction of Ozone Concentration in Ambient Air Using Multilinear Regression and the Artificial Neural Networks Methods

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dc.citation.issue1
dc.citation.rankM22
dc.citation.volume42
dc.contributor.authorVeličković, Milica
dc.contributor.authorMihajlović, Ivan
dc.contributor.authorNikolić, Đorđe
dc.contributor.authorŽivković, Živan
dc.contributor.authorPanić, Marija
dc.date.accessioned2023-12-25T21:23:48Z
dc.date.available2023-12-25T21:23:48Z
dc.date.issued2020
dc.identifier.doihttps://doi.org/10.1080/01919512.2019.1598844
dc.identifier.issn0191-9512
dc.identifier.urihttps://www.tandfonline.com/doi/abs/10.1080/01919512.2019.1598844
dc.identifier.urihttps://repozitorijum.tfbor.bg.ac.rs/handle/123456789/445
dc.language.isoen
dc.rights.licenseARR
dc.rights.urihttps://en.wikipedia.org/wiki/All_rights_reserved
dc.sourceOzone: Science & Engineering
dc.titlePrediction of Ozone Concentration in Ambient Air Using Multilinear Regression and the Artificial Neural Networks Methods
dc.typearticle
dc.type.versionpublishedVersion

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