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   Liquid-Liquid Equilibrium Data Prediction Using Large Margin Nearest Neighbor  
نویسنده Pirdashti M. ,Movagharnejad K. ,Curteanu S. ,Leon F. ,Rahimpour F.
منبع Iranian Journal Of Chemical Engineering - 2016 - دوره : 13 - شماره : 4 - صفحه:14 -32
چکیده    Guanidine hydrochloride has been widely used in the initial recovery steps of active protein from the inclusion bodies in aqueous twophase system (atps). the knowledge of the guanidine hydrochloride effects on the liquidliquid equilibrium (lle) phase diagram behavior is still inadequate and no comprehensive theory exists for the prediction of the experimental trends. therefore the effect the guanidine hydrochloride on the phase behavior of peg4000+ potassium phosphate+ water system at different guanidine hydrochloride concentrations and ph was investigated in this study. to fill the theoretical gaps, the typical of support vector machines was applied to the knearest neighbor method in order to develop a regression model to predict the lle equilibrium of guanidine hydrochloride in the above mentioned system. its advantage is its simplicity and good performance, with the disadvantage of an increase the execution time. the results of our method are quite promising: they were clearly better than those obtained by wellestablished methods such as support vector machines, knearest neighbour and random forest. it is shown that the obtained results are more adequate than those provided by other common machine learning algorithms.
کلیدواژه Liquidliquid Equilibrium ,Aqueous Two Phase System ,Nearest Neighbor ,Large Margin ,Regression Analysis
آدرس Babol Noshirvani University Of Technology, Faculty Of Chemical Engineering, ایران, Babol Noshirvani University Of Technology, Faculty Of Chemical Engineering, ایران, Gheorghe Asachi Technical University Of Iaşi, Faculty Of Chemical Engineering And Environmental Protection, Department Of Chemical Engineering, Romania, “Gheorghe Asachi” Technical University Of Iaşi, Faculty Of Automatic Control And Computer Engineering, Department Of Computer Science And Engineering, Romania, Razi University, Faculty Of Engineering, Chemical Engineering Department, Biotechnology Research Lab, ایران
پست الکترونیکی f_rahimpour@razi.ac.ir

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