سال انتشار: ۱۳۹۱

محل انتشار: چهاردهمین کنگره ملی مهندسی شیمی ایران

تعداد صفحات: ۵

نویسنده(ها):

Alireza Zirehpour – Membrane Research Group, Nanotechnology Research Institute, School of Chemical Engineering, Babol
Mohsen Jahanshahi –
Ahmad Rahimpour –

چکیده:

In this study artificial neural network (ANN) as a powerful tool for resolving complex problems is used to predict permeate flux and COD removal in Olive oil mill wastewater (OMW) treatment byNF membranes. Network training was realized using measured data in our previous study. Tryingvarious types of the network structures, a network with one hidden layer including 7 neurons was found to be target. Performance of the ANN model was investigated with statistical analysis. Theresults showed that there is an excellent agreement between the measured data and the predicted values, with high correlation (R2 = 0.9923) and less mean squared error (MSE = 1.2E−۴).