Research on Information Technology with Wine Quality Evaluation Based on Neural Network

Rong Liang Zhu; Yong Cun Cao; Qiu Mei Pu

doi:10.4028/www.scientific.net/AMR.886.532

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 886Research on Information Technology with Wine...

Research on Information Technology with Wine Quality Evaluation Based on Neural Network

Abstract:

Use modern information technology to replace the traditional manual quality grade evaluation of red wine. According to the red wines 11 physical and chemical properties which have a great influence on the quality, a quality grade evaluation model based on BP neural network pattern classification is established in this paper. The input variables are the red wines 11 parameters, output are the quality levels for wine. Experimental results show that it is an effective wine quality evaluation method.

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Periodical:

Advanced Materials Research (Volume 886)

Pages:

532-536

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.886.532

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Online since:

January 2014

Authors:

Rong Liang Zhu*, Yong Cun Cao, Qiu Mei Pu

Keywords:

BP Algorithm, Neural Network (NN), Pattern Classification, Quality Evaluation, Wine

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