Development of models for predicting toxicity from sediment chemistry by partial least squares-discriminant analysis and counter-propagation artificial neural networks

Environmental Pollution

Volumn 158, Issue 2, 2010, Pages 607-614

  Alvarez Guerra, Manuel ^a   Ballabio, Davide ^b   Amigo, José Manuel ^c   Bro, Rasmus ^c   Viguri, Javier R ^a  

^a UNIVERSITY OF CANTABRIA   (Spain)

^b UNIVERSITY OF MILANO BICOCCA   (Italy)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Mathematical models; Prediction; Quality assessment; Sediment; Toxicity

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CHEMICAL CONCENTRATIONS; CONTAMINANT CONCENTRATIONS; COUNTER PROPAGATION; DEVELOPED MODEL; ERROR CLASSIFICATION; HISTORICAL DATABASE; INHERENT LIMITATIONS; INTERNAL STRUCTURE; NEW APPROACHES; PARTIAL LEAST SQUARES-DISCRIMINANT ANALYSIS; PREDICTION QUALITY; QUALITY ASSESSMENT; SEDIMENT CHEMISTRY; SEDIMENT QUALITY; SEDIMENT TOXICITY; SENSITIVITY AND SPECIFICITY; SURVIVAL TESTS; TOXICITY DATA;

COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; IMPURITIES; NEURAL NETWORKS; SEDIMENTOLOGY; TOXICITY;

MATHEMATICAL MODELS;

1,1 DICHLORO 2,2 BIS(4 CHLOROPHENYL)ETHANE; 1,1 DICHLORO 2,2 BIS(4 CHLOROPHENYL)ETHYLENE; 2 METHYLNAPHTHALENE; ACENAPHTHYLENE; ANTHRACENE; ARSENIC; BENZ[A]ANTHRACENE; BENZO[A]PYRENE; CADMIUM; CHLORPHENOTANE; CHROMIUM; CHRYSENE; COPPER; DIBENZ[A,H]ANTHRACENE; FLUORANTHENE; FLUORENE; HEXACHLOROBENZENE; MERCURY; NAPHTHALENE; NICKEL; PHENANTHRENE; POLYCHLORINATED BIPHENYL; POLYCYCLIC AROMATIC HYDROCARBON; PYRENE; SILVER; ZINC;

ARTIFICIAL NEURAL NETWORK; CHEMICAL ANALYSIS; DATABASE; DISCRIMINANT ANALYSIS; LEAST SQUARES METHOD; NUMERICAL MODEL; SEDIMENT ANALYSIS; SEDIMENT CHEMISTRY; TOXICITY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL ANALYSIS; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; DISCRIMINANT ANALYSIS; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; SEDIMENT; SENSITIVITY AND SPECIFICITY; SURVIVAL RATE; TOXICITY TESTING;

AMPHIPODA; ANIMALS; DISCRIMINANT ANALYSIS; ENVIRONMENTAL POLLUTANTS; GEOLOGIC SEDIMENTS; LEAST-SQUARES ANALYSIS; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); SURVIVAL ANALYSIS; TOXICITY TESTS;

AMPHIPODA;

EID: 74349083142     PISSN: 02697491     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envpol.2009.08.007     Document Type: Article

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