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

机译:基于神经网络的葡萄酒质量评价信息技术研究

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摘要

Use modern information technology to replace the traditional manual quality grade evaluation of red wine. According to the red wine's 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 wine's 11 parameters, output are the quality levels for wine. Experimental results show that it is an effective wine quality j evaluation method.
机译:使用现代信息技术取代红酒的传统手工质量等级评价。根据红葡萄酒的11个物理和化学特性对质量产生很大影响,本文建立了基于BP神经网络模式分类的质量评价模型。输入变量是红葡萄酒的11个参数,输出是葡萄酒的质量水平。实验结果表明,它是一种有效的葡萄酒质量J评价方法。

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