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   Distillation Column Identification Using Artificial Neural Network  
   
نویسنده Sahraei Hamed ,Salehi Gholam Reza ,Ghaffari Ali ,Amidpour Majid
منبع Gas Processing Journal - 2013 - دوره : 1 - شماره : 2 - صفحه:31 -40
چکیده    in this paper, artificial neural network (ann) was used for modeling the nonlinear structure of a debutanizer column in a refinery gas process plant. the actual input-output data of the system were measured in order to be used for system identification based on root mean square error (rmse) minimization approach. it was shown that the designed recurrent neural network is able to precisely predict and track the response of the actual system. the comparison between the results of this paper and those of the most recent published studies as narx model indicates the significance of the proposed approach..
کلیدواژه Debutanizer Column ,Dynamic Neural Networks ,System Identification ,Modeling
آدرس K.N.Toosi University Of Technology, Mechanical Engineering Department, K N Toosi University Of Technology, Tehran, Iran, ایران, Islamic Azad University, Mechanical Engineering Department, Islamic Azad University, Nowshahr Branch, Iran, ایران, K.N.Toosi University Of Technology, Mechanical Engineering Department, K N Toosi University Of Technology, Tehran, Iran, ایران, K.N.Toosi University Of Technology, Mechanical Engineering Department, K N Toosi University Of Technology, Tehran, Iran, ایران
پست الکترونیکی amidpour@kntu.ac.ir
 
 

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