neuro-fuzzy and response surface modeling of osmotic dehydration of pomegranate arils

نویسندگان

محمد گنجه

دانشگاه علوم کشاورزی و منابع طبیعی گرگان سید مهدی جعفری

دانشگاه علوم کشاورزی و منابع طبیعی گرگان سجاد قادری

دانشگاه فردوسی مشهد

چکیده

in this research, pomegranate arils are dehydrated by osmotic dehydration in 40, 50, and 60 % sucrose ‎solutions and at 45, 55 and 65 degrees c‎‏ ‏‎ and weight reduction, solids grain and water loss of the products ‎were measured at 60, 120 and 180 minutes of process. osmotic dehydration processes was modeled by ‎combination of neural network and fuzzy logic techniques (neuro-fuzzy) and response surface methodology. ‎for modeling, interpolation and increase of the data’s, fuzzy logic was used. by entering the obtained results ‎from fuzzy model into the neural network tool, the feed-forward-back-propagation network with the ‎topology of 3-8-3 and the correlation coefficient of 0.98344‎‏ ‏and mean square error of 0.02278‎‏ ‏with ‎application of log-sigmoid transfer function‏ ‏‎(logsig) and levenberg–marquardt learning algorithm was ‎determined as the best neural model. regression models created by response surface methodology by ‎correlation coefficient of 0.90 were also capable for prediction of response factors but in comparison with ‎neuro-fuzzy models have a lower accuracy.‎

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عنوان ژورنال:
مهندسی بیوسیستم ایران

جلد ۴۷، شماره ۲، صفحات ۲۴۳-۲۵۵

کلمات کلیدی
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