Document Detail


Application of Artificial Neural Networks (ANNs) in Wine Technology.
MedLine Citation:
PMID:  23391010     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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:
Halil Baykal; Hatice Kalkan Yildirim
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Critical reviews in food science and nutrition     Volume:  53     ISSN:  1549-7852     ISO Abbreviation:  Crit Rev Food Sci Nutr     Publication Date:  2013  
Date Detail:
Created Date:  2013-02-08     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8914818     Medline TA:  Crit Rev Food Sci Nutr     Country:  England    
Other Details:
Languages:  eng     Pagination:  415-21     Citation Subset:  IM    
Affiliation:
a Ege University , Food Engineering Department , Bornova , İzmir , Turkey.
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