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dc.creatorMićić, M.
dc.creatorJovančićević, B.
dc.creatorPolić, P.
dc.creatorŠušić, Nenad
dc.creatorMarković, D.
dc.date.accessioned2022-04-18T14:56:03Z
dc.date.available2022-04-18T14:56:03Z
dc.date.issued1998
dc.identifier.issn1018-4619
dc.identifier.urihttp://rims.institutims.rs/handle/123456789/13
dc.description.abstractThe distinction between autochthonous, and oil-like origin of organic matter in geological sediments can be performed on the basis of n-alkane abundance and distribution patterns, determined by gas chromatography, or on the basis of the carbon-isotope ratio (δC13PDB) patterns of dominant n-alkanes, determined by gas chromatography-mass spectroscopy. Here we present solutions for automatic classification of organic matter origin in geological sediments, based on artificial neural networks.en
dc.publisherTU Munchen
dc.rightsrestrictedAccess
dc.sourceFresenius Environmental Bulletin
dc.subjectSedimentsen
dc.subjectOil-type pollutionen
dc.subjectn-alkane distributionen
dc.subjectCarbon isotope ratioen
dc.subjectArtificial neural networksen
dc.titleClassification tools based on artificial neural networks for the purpose of identification of origin of organic matter and oil pollution in recent sedimentsen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage653
dc.citation.issue11-12
dc.citation.other7(11-12): 648-653
dc.citation.rankM23
dc.citation.spage648
dc.citation.volume7
dc.identifier.rcubconv_1067
dc.identifier.scopus2-s2.0-0031729552
dc.type.versionpublishedVersion


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