Research on the Recognition of Chemical Taste Information Based on Learning Vector Quantization Neural Network

摘要：

Chemical taste is indispensable information in food testing. The technical of electronic tongue system is one of research directions to identify different chemical tastes. This paper focuses on the pattern recognition method based on learning vector quantization (LVQ) neural network. The electronic tongue system designed could identify all the samples of beer, fruit juice and milk successfully in the experiments. The result shows that LVQ neural network is applicable in the pattern recognition of electronic tongue system and can also be used on condition that information is gathered by multisensors array.

关键词： LVQ neural network pattern recognition electronic tongue system taste recognition

作者: Jianhui Zhou Wang Lei Jionghua Teng

作者单位: College of Electronics and Information Engineer, TongJi University, Shanghai 200092 China Northwestern Polytechnical University, Xian 710072 China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Technology and Industrial Engineering(2010年信息技术与工业工程国际学术会议 ITIE 2010)

会议地点: 武汉

会议语种:英文

页码: 881-884

在线出版日期: 2010-06-06（万方平台首次上网日期，不代表论文的发表时间）