تخمین محتوای رطوبتی خربزه درختی با استفاده از مدل‌سازی GMDH

مجله پژوهشهای علوم و صنایع غذایی ایران

مقاله 1، دوره 11، شماره 6 - شماره پیاپی 36، بهمن و اسفند 1394، صفحه 747-757   

نوع مقاله: مقاله پژوهشی لاتین

شناسه دیجیتال (DOI): 10.22067/ifstrj.v1394i6.51651

نویسندگان

علیرضا یوسفی^{* 1}؛ ناصر قاسمیان²

¹دانشگاه فردوسی مشهد

²دانشگاه بناب

چکیده

در این تحقیق یک مدل هیبریدی شبکه عصبی-GMDH جهت تخمین محتوای رطوبتی قطعات خربزه درختی در حین خشک‌شدن با هوای داغ در یک خشک‌کن کابینتی تعیین شد. برای این منظور پارامترهای زمان خشک‌‌کردن، ضخامت قطعات و دمای خشک‌کردن به‌عنوان ورودی تعریف گردید و مقدار نسبت رطوبتی (MR) به‌عنوان خروجی تخمین زده شد. دقیقاً 50 درصد داده‌ها جهت آموزش و 50 درصد دیگر برای تست کردن مدل استفاده شد. به‌علاوه، چهار مدل ریاضی مختلف بر داده‌های آزمایشگاهی برازش داده شدند و نتایج این مدل‌سازی با GMDH مقایسه گردید. مقدار ضریب تبیین (R2) و جذر میانگین مربعات خطا (RMSE) به‌دست آمده برای مدل GMDH به‌ترتیب  9960/0 و 0220/0 به‌دست آمد، درحالی‌که برای بهترین مدل ریاضی (مدل نیوتن) این مقادیر به‌ترتیب برابر 9954/0 و 0230/0 تعیین شد. پس می‌توان نتیجه گرفت که مدل‌سازی با GMDH کارایی بالاتری نسبت به مدل ریاضی در تخمین محتوای رطوبتی قطعات لایه نازک خربزه درختی دارد.

کلیدواژه‌ها

خشک کردن؛ GMDH؛ خربزه درختی؛ شبکه عصبی

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