title: Application of artificial neural networks (ANNs) in wine technology.
abstract: 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.
authors: Ege University, Food Engineering Department, Bornova, Izmir, Turkey.
authors: Halil
authors: H
authors: Baykal
authors: Hatice Kalkan
authors: HK
authors: Yildirim
mesh_terms: D005285:Fermentation; D005524:Food Technology / Q000379:methods*; D016571:Neural Networks, Computer; D014920:Wine