Content of aliphatic hydrocarbons in limpets as a new way for classification of species using artificial neural networks

Chemosphere

Volumn 54, Issue 8, 2004, Pages 1059-1069

  Hernandez Borges J ^a,b   Corbella Tena, R ^b   Rodriguez Delgado M A ^b   Garcia Montelongo F J ^b   Havel, J ^a  

^a MASARYK UNIVERSITY   (Czech Republic)

^b UNIVERSIDAD DE LA LAGUNA   (Spain)

Author keywords

Artificial neural networks; Gas chromatography; Limpets; N alkanes

Indexed keywords

CONCENTRATION (PROCESS); GAS CHROMATOGRAPHY; NEURAL NETWORKS; TISSUE;

BIOLOGICAL SPECIES; SUBTIDAL LIMPETS;

PARAFFINS;

ALIPHATIC HYDROCARBON; ALKANE;

ALKANE; ARTIFICIAL NEURAL NETWORK; BIOINDICATOR; GAS CHROMATOGRAPHY; MARINE POLLUTION; POLLUTION MONITORING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; GAS CHROMATOGRAPHY; INDICATOR ORGANISM; LIMPET; MOLLUSC; NONHUMAN; PATELLA CANDEI CRENATA; PATELLA PIPERATA; PATELLA ULYSSIPONENSIS ASPERA; SPAIN; SPECIES;

ATLANTIC ISLANDS; ATLANTIC OCEAN; CANARY ISLANDS; EURASIA; EUROPE; SOUTHERN EUROPE; SPAIN;

GASTROPODA; PATELLA CANDEI; PATELLA PIPERATA; PATELLA ULYSSIPONENSIS; PATELLIDAE;

EID: 1642517176     PISSN: 00456535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemosphere.2003.09.042     Document Type: Article

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