Document Detail

Applications of artificial neural networks (ANNs) in food science.
MedLine Citation:
PMID:  17364697     Owner:  NLM     Status:  MEDLINE    
Artificial neural networks (ANNs) have been applied in almost every aspect of food science over the past two decades, although most applications are in the development stage. ANNs are useful tools for food safety and quality analyses, which include modeling of microbial growth and from this predicting food safety, interpreting spectroscopic data, and predicting physical, chemical, functional and sensory properties of various food products during processing and distribution. ANNs hold a great deal of promise for modeling complex tasks in process control and simulation and in applications of machine perception including machine vision and electronic nose for food safety and quality control. This review discusses the basic theory of the ANN technology and its applications in food science, providing food scientists and the research community an overview of the current research and future trend of the applications of ANN technology in the field.
Yiqun Huang; Lars J Kangas; Barbara A Rasco
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Review    
Journal Detail:
Title:  Critical reviews in food science and nutrition     Volume:  47     ISSN:  1040-8398     ISO Abbreviation:  Crit Rev Food Sci Nutr     Publication Date:  2007  
Date Detail:
Created Date:  2007-03-16     Completed Date:  2007-07-18     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8914818     Medline TA:  Crit Rev Food Sci Nutr     Country:  United States    
Other Details:
Languages:  eng     Pagination:  113-26     Citation Subset:  IM    
Department of Family, Nutrition, and Exercise Sciences, Queens College, the City University of New York, Flushing, NY 11367-1597, USA.
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MeSH Terms
Artificial Intelligence
Food Microbiology
Food Technology*
Neural Networks (Computer)*
Quality Control
Signal Processing, Computer-Assisted
Spectrum Analysis

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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