摘要
运用一典型的人工神经网络——“反向传播”模型,根据啤酒的理化指标,建立了啤酒质量评定的计算机智能专家系统,得到了与实际品尝相一致的结果。
Back-propagation model which is one of the typical neural network models was applied to establish the computer expert system for grading the beer on the basis of some physical and chemical properties. The results of classification was consistent with the taste.
出处
《食品科学》
EI
CAS
CSCD
北大核心
1993年第7期27-30,共4页
Food Science
关键词
啤酒
质量评定
人工
神经网络
Grading the Beer Artificial Neural Network Back-propagation Model Physical and Chemical Properties
