سال انتشار: ۱۳۹۱

محل انتشار: چهاردهمین کنگره ملی مهندسی شیمی ایران

تعداد صفحات: ۷

نویسنده(ها):

ali akbar amooey – Department chemical Engineering, Mazandaran University, babolsar, Iran

چکیده:

In this study, adsorption data for case of energetically heterogeneous solid surface are modeled using artificial neural network. A neural network with three hidden neurons, including the bias, was able to predict veryaccurately the temperature dependency of adsorption data .The results were compared with experimental data and it was found that the predictions of the artificial neural network model fit the experimental data very accurately