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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