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Iranian Journal of Chemistry and Chemical Engineering، جلد ۲۵، شماره ۲، صفحات ۶۷-۷۶
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عنوان انگلیسی Comparative Study of Artificial Neural Networks (ANN) and Statistical Methods for Predicting the Performance of Ultrafiltration Process in the Milk Industry
چکیده انگلیسی مقاله Milk ultrafiltration is a membrane process, which is highly complex innature. The cost effectiveness of the process depends heavily on the flux permeate and the total hydraulic resistance of the membrane. In this work, a comparative study for the prediction of the performance of milk ultrafiltration with ANN and statistical method has been carried out. The result reveals that both methods carry out the prediction with a high degree of accuracy. However, the statistical method, contrary to neural nets, is both costly and time consuming and the accuracy of the data are also in doubt, as the operating conditions are not consistent throughout each of the test runs. The result also reveals that there is a good agreement between the predicted fluxes permeates and the total resistances of this work with the actual values. The findings of this study also shows that the artificial neural nets technique can be applied as a powerful tool and a cost and time effective way in predicting and assessing the performance of milk ultrafiltration process. 
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نویسندگان مقاله جواد سرگلزایی |
department of chemical engineering, university of sistan and baluchestan, zahedan, i.r. iran

ناصر ثقه الاسلامی |
department of chemical engineering, university of ferdowsi, mashad, i.r. iran

سید محمد موسوی | sayed mohammad
department of chemical engineering, university of ferdowsi, mashad, i.r. iran

محمد خوشنودی |
department of chemical engineering, university of sistan and baluchestan, zahedan, i.r. iran

نشانی اینترنتی http://www.ijcce.ac.ir/article_8092_3e23d617a8613ad2cfc7553cd4fc9003.pdf
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