Feed Forward Artificial Neural Network Model to Estimate the TPH Removal Efficiency in Soil Washing Process

نویسندگان
Hadi, Mahdi ID 1
Jame Porazmey, Elaheh ID 2
Barati, Farzan ID 3
Jafari Mansoorian, Hossein ID 4
Karimaee, Mostafa ID 5
Baziar, Mansour ID 6

1 Semnan University of Medical Science

2 Tehran University of Medical Science

3 Tehran University of Medical Science

4 Environmental Health Engineering Research Center, Department of Environmental Health Engineering, School of Health, Kerman University of Medical Sciences, Kerman, Iran

5 Kerman University of Medical Sciences

6 Department of Environmental Health Engineering, School of Health, Tehran University of Medical Science, Tehran, Iran

doi
10.29252/ArchHygSci.6.1.96
چکیده

Background & Aims of the Study: A feed forward artificial neural network (FFANN) was developed to predict the efficiency of total petroleum hydrocarbon (TPH) removal from a contaminated soil, using soil washing process with Tween 80. The main objective of this study was to assess the performance of developed FFANN model for ...

کلیدواژه‌ها
Artificial neural network, Modeling, TPH, Surfactant, Soil contamination, Iran