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Representation of adsorption data for the case of energetically heterogeneous solid surfaces using artificial neural network

عنوان مقاله: Representation of adsorption data for the case of energetically heterogeneous solid surfaces using artificial neural network
شناسه ملی مقاله: NICEC14_232
منتشر شده در چهاردهمین کنگره ملی مهندسی شیمی ایران در سال 1391
مشخصات نویسندگان مقاله:

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

خلاصه مقاله:
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

کلمات کلیدی:
artificial neural networks, heterogeneous solid surfaces, adsorption

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/171850/