人工神经网络
葡萄酒
计算机科学
人工智能
多样性(控制论)
机器学习
过程(计算)
质量(理念)
生化工程
工程类
认识论
操作系统
光学
物理
哲学
作者
Halil Baykal,Hatice Kalkan Yı̇ldırım
标识
DOI:10.1080/10408398.2010.540359
摘要
In recent years, neural networks have turned out as a powerful method for numerous practical applications in a wide variety of disciplines. In more practical terms neural networks are one of nonlinear statistical data modeling tools. They can be used to model complex relationships between inputs and outputs or to find patterns in data. In food technology artificial neural networks (ANNs) are useful for food safety and quality analyses, predicting chemical, functional and sensory properties of various food products during processing and distribution. In wine technology, ANNs have been used for classification and for predicting wine process conditions. This review discusses the basic ANNs technology and its possible applications in wine technology.
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