A chemometric approach to the environmental problem of predicting toxicity in contaminated sediments

Journal of Chemometrics

Volumn 24, Issue 7-8, 2010, Pages 379-386

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

^a UNIVERSITY OF CANTABRIA   (Spain)

^b UNIVERSITY OF MILANO BICOCCA   (Italy)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Chemical contamination; Classification; CP ANN; PLS DA; Sediment toxicity

Indexed keywords

CHEMICAL HAZARDS; CONTAMINATION; DAMAGE DETECTION; DISCRIMINANT ANALYSIS; FORECASTING; INDICATORS (CHEMICAL); LEAST SQUARES APPROXIMATIONS; SEDIMENTS; TOXICITY;

CANONICAL VARIATE ANALYSIS; CHEMOMETRIC APPROACH; CLASSIFICATION TREES; COUNTER PROPAGATION; COUNTER-PROPAGATION ARTIFICIAL NEURAL NETWORK; DEVELOPED MODEL; ENVIRONMENTAL PROBLEMS; PARTIAL LEAST SQUARES DISCRIMINANT ANALYSES (PLSDA); REGRESSION TREES; SEDIMENT TOXICITY;

NEURAL NETWORKS;

EID: 77957026052     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.1264     Document Type: Article

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