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گواهی نمایه سازی مقاله Prediction of methane hydrate formation pressure: learning data under conditions of different temperature and salinity

عنوان مقاله: Prediction of methane hydrate formation pressure: learning data under conditions of different temperature and salinity
شناسه (COI) مقاله: ICHEC07_084
منتشر شده در هفتمین کنگره ملی مهندسی شیمی در سال ۱۳۹۰
مشخصات نویسندگان مقاله:

j sayyad amin - chemical engineering department guilan rasht
s alimohamadi - chemical engineering department guilan rasht

خلاصه مقاله:
Artificial Neural Network (ANN) and Bayesian Belief Network (BBN) were used in this study such as an artificial intelligence modelling tools to investigate the different variables (pressure,temperateure and solinity)on methane hydrate formation. The predicted results of methane hydrate formation condition from ANN model was also compared with the result of BBN mo el.By comparing average coefficient of determination (r2)regression coefficient (r) and mean square error (MSE) values of the ANN models and BBN model, one can conclude that ANN predicted methane hydrate formation condition better than the other.

کلمات کلیدی:
methane hydrate,phase equilibria with inhibitors ,salinity ,artificial neural network ، bayesian belief network

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-ICHEC07-ICHEC07_084.html