Artificial neural networks in foodstuffs: a critical review
محل انتشار: مجله علمی مروری، دوره: 1، شماره: 4
سال انتشار: 1391
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 452
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شناسه ملی سند علمی:
JR_SJR-1-4_003
تاریخ نمایه سازی: 9 اسفند 1393
چکیده مقاله:
This paper provides a critical review of literature concerning the artificial neural networks (ANN) in foodstuffs. The main aim is to provide background information, motivation for applications and an exposition to the methodologies employed in the development of ANN techniques in foodstuffs. This review includes that all the latest works on the application of ANN to foodstuffs which have been reported excellently with positive and encouraging results. This review paper highlights the methodologies and algorithms employed for ANN models suitable for various foodstuffs, viz., avocados, tomatoes, cherries, grape, mosambi juice, apple juice, chicken nuggets, pistachio nuts, potato chips, kalakand, cakes, processed cheese, butter, milk and other foodstuffs. This review paper would be very beneficial for those working in food industry, academicians, students, researchers, scientists, factories manufacturing the food products and regulatory authorities, as it provides comprehensive latest information.
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