سال انتشار: ۱۳۹۰

محل انتشار: سومین همایش ملی تحقیقات نوین در شیمی و مهندسی شیمی

تعداد صفحات: ۲

نویسنده(ها):

S Mousavian – Department of chemical engineering, Gachsaran branch, Islamic azad university,Gachsaran, Iran
D Ashouri –
R Mousavi –
F Mousavian –

چکیده:

In this study, estimation of properties of kerosene from crude oil properties is considered. There is no model for this purpose. We use neural network simulation to correlate these properties. One hidden layer network is selected for this simulation and number of hidden layer is calculated by trial and error. The network with 4 hidden layers has the best agreement with experimental data.