Application of neural network model for the prediction of chromium concentration in phytoremediated contaminated soils

Journal of Geochemical Exploration

Volumn 128, Issue , 2013, Pages 25-34

  Hattab, Nour ^a   Hambli, Ridha ^b   Motelica Heino, Mikael ^a   Bourrat, Xavier ^a   Mench, Michel ^c  

^a UNIVERSITÉ D'ORLÉANS   (France)

^b Institut PRISME/Equipe MMH   (France)

^c UMR 1202 BIOGECO   (France)

Author keywords

Artificial neural networks (ANN); Chromium prediction; DOC; EC; PH; Soil contamination

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; DISSOLVED ORGANIC CARBON; DOC; EC; EXPERIMENTAL MEASUREMENTS; MULTI-LINEAR REGRESSION; SOIL CONTAMINATION; SOIL ELECTRICAL CONDUCTIVITY;

CHROMIUM; ELECTRIC CONDUCTIVITY; FORECASTING; GEOLOGIC MODELS; MATHEMATICAL MODELS; NEURAL NETWORKS; PH; PLANTS (BOTANY); SOIL SURVEYS; SOILS;

SOIL POLLUTION;

ARTIFICIAL NEURAL NETWORK; CHROMIUM; CONCENTRATION (COMPOSITION); NUMERICAL MODEL; PHYTOREMEDIATION; PREDICTION; SOIL POLLUTION; TOXICITY;

FRANCE;

EID: 84875619675     PISSN: 03756742     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gexplo.2013.01.005     Document Type: Article

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