Application of an inverse neural network model for the identification of optimal amendment to reduce copper toxicity in phytoremediated contaminated soils by Nour Hattab & Mikael Motelica-Heino

Application of an inverse neural network model for the identification of optimal amendment to reduce copper toxicity in phytoremediated contaminated soils by Nour Hattab & Mikael Motelica-Heino

Author:Nour Hattab & Mikael Motelica-Heino
Format: pdf
Tags: Soil contamination, Copper, Amendment optimization, Artificial neural networks (ANN), Inverse modeling
Publisher: Elsevier B.V.
Published: 2013-11-20T00:27:07+00:00


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