农业机械学报2013，Vol.44Issue(3)：147-152,6.DOI:10.6041/j.issn.1000-1298.2013.03.027
基于模糊集的玉米饮料滋味自动鉴评方法
Automation Evaluation of Corn Juices Taste Based on Fuzzy Information
摘要
Abstract
Fuzzy information of corn juices was automatically evaluated based on a sensor array. The concept of weights was introduced for different taste sensory evaluation aspects of corn juices. The conversion of the qualitative and quantitative information was achieved. At the same time, adjustment of a comprehensive cloud model was completed based on the difference of weight. According to the requirements of the different evaluation aspects of corn juices including sweetness, soursweet and flavor, sensor array were analyzed and combination of different sensor array signals were obtained. Fuzzy neural networks were built for prediction of corn juices taste fuzzy information. The information for different aspects collected from sensor array was input. The information from cloud model according to sensory evaluation was output. With training fuzzy neural network, fuzzy layer center value, the fuzzification layer node width values and fuzzy decision-making regulation parameters were obtained to determine the network structure. The forecast analysis showed that the system allowed good effect with 0. 002 43 ~ 0. 091 77 error rate in the process of automation evaluation of fuzzy information for corn juices.关键词
玉米饮料/滋味/鉴评/模糊神经网络/云模型Key words
Corn juices/Taste/Evaluation/Fuzzy neural networks/Cloud model分类
轻工纺织引用本文复制引用
刘晶晶,孙永海,陈莉,孙钟雷,王笑丹,付天宇..基于模糊集的玉米饮料滋味自动鉴评方法[J].农业机械学报,2013,44(3):147-152,6.基金项目
国家自然科学基金资助项目(31271861)和国家高技术研究发展计划(863计划)资助项目(2008AA100802) （31271861）
