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International Journal of Engineering، جلد ۳۲، شماره ۱۰، صفحات ۱۳۵۳-۱۳۵۷
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عنوان انگلیسی Predicting the Coefficients of Antoine Equation Using the Artificial Neural Network (TECHNICAL NOTE)
چکیده انگلیسی مقاله Neural network is one of the new soft computing methods commonly used for prediction of the thermodynamic properties of pure fluids and mixtures. In this study, we have used this soft computing method to predict the coefficients of the Antoine vapor pressure equation. Three transfer functions of tan-sigmoid (tansig), log-sigmoid (logsig), and linear were used to evaluate the performance of different transfer functions to redict the coefficients of the Antoine vapor pressure equation. The critical pressure, critical temperature, critical volume, molecular weight, and acentric factor were considered as the input variables and the Antoine equation coefficients showed by the symbols A, B, and C were considered as the output variables. The results of this study indicated that the linear transfer function had a better performance than other transfer functions and the topology of 5-6-3 with Levenberg–Marquardt learning algorithm and linear transfer function had the best performance for prediction of these coefficients.
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نویسندگان مقاله Amir Hosein Khosravi Ghasemi |
Faculty of Chemical Eng., Babol Noshirvani University of Technology

Mohammad Ebrahim Mohammdpour Mir |
Faculty of Chemical Engineering Babol Noshirvani University of Technology

Sara Nanvakenari |
Faculty of Chemical Eng. Babol Noshirvani University of Technology

Kamyar Movagharnejad |
Faculty of Chemical Engineering, Babol Noshiravani University of Technology

نشانی اینترنتی http://www.ije.ir/article_95709_c57350c99208d5fd873c8eff3a96e9b9.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2061501.pdf
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زبان مقاله منتشر شده en
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