عنوان المقالة:استخدام تقنية الشبكات العصبية التقدير تركيز النحاس على التربة الملوثة USING ARTIFICIAL NEURAL NETWORK TECHNIQUE TO ESTIMATION THE CONCENTRATION OF COPPER FOR CONTAMINATED SOILS
Theaimofthis paperistodesign artificial neuralnetwork(ANN)asanalternative accurate tool to estimate concentration of Copper (Cu) in contaminated soils. First, sixteen (4x4) soil samples were harvested from a phytoremediated contaminated site located in AbuDsheer in Baghdad city in Iraq. Second, a series ofmeasurementswereperformedonthe soilsamples. The inputs are the soil amendment, the soil pH, and the soil electrical conductivity and the output is the concentrationofCuinthe soilofdepthxandtime t. Third, design an ANN and its performance was evaluated using a test data set and then applied to estimate the concentration of Copper (Cu). The performance of the ANN technique was compared with the traditional laboratory inspecting using the training and test data sets. The results of this study show that the ANN technique trained on experiment a measurements can be
successfully applied to the rapid estimation of Cu.
تاريخ النشر
01/01/2016
الناشر
GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES
سعد علي احمد | Saad Ali Ahmed | 3719