Application of Artificial Neural Networks (ANNs) in Wine Technology

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...

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Bibliographic Details
Published in:Critical reviews in food science and nutrition 2013-01, Vol.53 (5), p.415-421
Main Authors: Baykal, Halil, Yildirim, Hatice Kalkan
Format: Article
Language:English
Subjects:
artificial neural network
Artificial neural networks
Biological and medical sciences
Classification
Feeding. Feeding behavior
Fermentation
Food processing industry
Food safety
Food science
food technology
Food Technology - methods
Foods
Fundamental and applied biological sciences. Psychology
Mathematical models
Neural networks
Neural Networks (Computer)
Nutrition
optimization
prediction
Product safety
sensory properties
Vertebrates: anatomy and physiology, studies on body, several organs or systems
Vitaceae
Wine
Wine process
Wineries & vineyards
Wines
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Summary: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.
ISSN:1549-7852
1040-8398
1549-7852
DOI:10.1080/10408398.2010.540359