CLASSIFICATION TOOLS BASED ON ARTIFICIAL NEURAL NETWORKS FOR THE PURPOSE OF IDENTIFICATION OF ORIGIN OF ORGANIC-MATTER AND OIL POLLUTION INRECENT SEDIMENTS

The distinction between autochthonous, and oil-like origin of organic matter in geological sediments can be performed on the basis of n-alka ne abundance and distribution patterns, determined by gas chromatograp hy, or on the basis of the carbon-isotope ratio (delta (CPDB)-P-13) pa tterns of dominant n-alkanes, determined by gas chromatography-mass sp ectroscopy. Here we present solutions for automatic classification of organic matter origin in geological sediments, based on artificial neu ral networks.