4.7 Review

Application of Artificial Neural Networks (ANNs) in Wine Technology

Journal

CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
Volume 53, Issue 5, Pages 415-421

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/10408398.2010.540359

Keywords

Wine process; optimization; artificial neural network

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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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