Artificial Neural Networks for Dairy Industry: A Review

S. Goyal
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引用次数: 15

Abstract

Artificial Neural Networks (ANNs) have been implemented in almost every field, viz., science, technology, medicine and engineering as they have proved useful tools for obtaining the desired output including the analyses and shelf life prediction in case of food products. This review discusses the systematic information available in the literature concerning the implementation of ANN models for shelf life determination of milk, various dairy products, viz., yoghurt, chocolate, butter, cheese, kalakand, dairy confections and milk based coffee drinks, which would be very useful for dairy industry, consumers, wholesalers, retailers, regulatory agencies, food researchers and academicians.
人工神经网络在乳业中的应用综述
人工神经网络(ann)已经在几乎每个领域实施,即科学,技术,医学和工程,因为它们已被证明是获得所需输出的有用工具,包括食品的分析和保质期预测。本文综述了有关应用人工神经网络模型测定牛奶、各种乳制品(如酸奶、巧克力、黄油、奶酪、卡拉坎德、乳制品糖果和牛奶咖啡饮料)保质期的文献中现有的系统信息,这将对乳制品行业、消费者、批发商、零售商、监管机构、食品研究人员和学者非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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