چکیده مقاله
Artificial neural network was investigated for emulating liquid ternary phase behavior Reproducing the feed data and expanding the ternary phase pattern makes this approach able to predict the phase behavior beyond the collection of experimental measurements Well trained networks even can reproduce outlier data at different compositions and/or temperatures, acceptably
کلیدواژهها
نویسندگان
M. Moghadam
Faculty of Technology and Engineering East of Guilan, University of Guilan, Rudsar, Iran
S. Asgharzadeh
Faculty of Technology and Engineering East of Guilan, University of Guilan, Rudsar, Iran
B. Sharifzadeh
Faculty of Technology and Engineering East of Guilan, University of Guilan, Rudsar, Iran
شیوه ارجاع
Moghadam, M. and Asgharzadeh, S. and Sharifzadeh, B.,1394,Neural networks for prediction of liquid ternary phase behavior,1st National Conference on Soft Computing,Rasht
ارائهشده در
مجموعه مقالات نخستین کنفرانس ملی محاسبات نرم27 آبان 1394 · رشت