Application of artificial neural network (ANN)-self-organizing map (SOM) for the categorization of water, soil and sediment quality in petrochemical regions

Expert Systems with Applications

Volumn 40, Issue 9, 2013, Pages 3634-3648

  Olawoyin, Richard ^a   Nieto, Antonio ^a   Grayson, Robert Larry ^a   Hardisty, Frank ^a   Oyewole, Samuel ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Multivariate statistical techniques; Niger Delta; Petrochemical; Sediment; Self organizing map; Soil; Water

Indexed keywords

COMPUTATIONAL TOOLS; DATA INTERPRETATION; ECOTOXICOLOGICAL; INPUT DATAS; MULTIVARIATE STATISTICAL TECHNIQUES; NIGER DELTA; NIGERIA; PHYSICAL VARIABLES; POLLUTION SOURCES; REMEDIAL ACTIONS; SELF-ORGANIZING MAP (SOM); SOIL AND SEDIMENT; SPATIAL PATTERNS; TOXICOKINETICS; UNSUPERVISED ANN;

CLASSIFICATION (OF INFORMATION); CONFORMAL MAPPING; DATA PROCESSING; MULTIVARIANT ANALYSIS; NEURAL NETWORKS; PETROCHEMICALS; POLLUTION; SEDIMENTS; SOILS; WATER;

SEDIMENTOLOGY;

EID: 84874659763     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.12.069     Document Type: Article

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