Application of Artificial Neural Networks (ANNs) in Wine Technology


Baykal H., Yildirim H. K.

CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION, cilt.53, ss.415-421, 2013 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 53 Konu: 5
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1080/10408398.2010.540359
  • Dergi Adı: CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
  • Sayfa Sayıları: ss.415-421

Özet

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.