Application of an inverse neural network model for the identification of optimal amendment to reduce copper toxicity in phytoremediated contaminated soils-Reference-Cited by-同舟云学术

Application of an inverse neural network model for the identification of optimal amendment to reduce copper toxicity in phytoremediated contaminated soils

Published:2014-01 Issue: Volume:136 Page:14-23
ISSN:0375-6742
Container-title:Journal of Geochemical Exploration
language:en
Short-container-title:Journal of Geochemical Exploration

Author:

Hattab Nour,Motelica-Heino Mikael

Publisher

Elsevier BV

Subject

Economic Geology,Geochemistry and Petrology

Reference80 articles.

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4. Estimation of heavy metal sorption in German soils using artificial neural networks;Anagu;Geoderma,2009

5. Distribution coefficients of Cd, Co, Ni and Zn in soils;Andersen;J. Soil Sci.,1988

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