Thermal Diffusivity of Hydrocarbons and Aromatics and Artificial Neural Network Predicting Model
عنوان مقاله: Thermal Diffusivity of Hydrocarbons and Aromatics and Artificial Neural Network Predicting Model
شناسه ملی مقاله: NICEC14_769
منتشر شده در چهاردهمین کنگره ملی مهندسی شیمی ایران در سال 1391
شناسه ملی مقاله: NICEC14_769
منتشر شده در چهاردهمین کنگره ملی مهندسی شیمی ایران در سال 1391
مشخصات نویسندگان مقاله:
Ali Zeinolabedini Hezave - Islamic Azad University, Dashtestan Branch, Borazjan, Iran
Mostafa Lashkarbolooki - Islamic Azad University, Dashtestan Branch, Borazjan, Iran,
Mehdi Bayat
خلاصه مقاله:
Ali Zeinolabedini Hezave - Islamic Azad University, Dashtestan Branch, Borazjan, Iran
Mostafa Lashkarbolooki - Islamic Azad University, Dashtestan Branch, Borazjan, Iran,
Mehdi Bayat
A feed forward artificial neural network (FFANN) was used to correlate 956 experimentally measured thermal diffusivity data of hydrocarbons and aromatics. In this regards, a networkconsisted of one input, one hidden and one output layers was used to correlate the thermal diffusivity of the hydrocarbon and aromatics. The obtained results revealed that using FFANNmodel contained 19 neurons in the hidden layer and tansig and purelin as transfer functions in hidden and output layers, respectively, leads to overall average absolute relative deviation percent (AARD%) of 0.73 %. Generally, obtained result showed that the proposed ANN model was ableto well correlate the thermal diffusivity of hydrocarbons and aromatics
کلمات کلیدی: Thermal diffusivity, Artificial neural network, Hydrocarbons, Aromatics, Prediction
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/172387/