| Taste Identification of Tea Through a Fuzzy Neural Network Based on Fuzzy C-means Clustering |
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| 引用本文： | ZHENG Yan 1,ZHOU Chun guang 2 (1 College of Computer Science and Technology,Beijing University of Posts and Telecommunications,Beijing 100876,P.R. China, 2 College of Computer Science and Technology,Jilin University,Changchun 130023,P.R. China). Taste Identification of Tea Through a Fuzzy Neural Network Based on Fuzzy C-means Clustering[J]. 中国邮电高校学报(英文版), 2003, 10(3) |
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| 作者姓名： | ZHENG Yan 1 ZHOU Chun guang 2 (1 College of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 P.R. China 2 College of Computer Science and Technology Jilin University Changchun 130023 P.R. China) |
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| 作者单位： | 1 College of Computer Science and Technology，Beijing University of Posts and Telecommunications，Beijing 100876，P.R. China; 2 College of Computer Science and Technology，Jilin University，Changchun 130023，P.R. China |
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| 基金项目： | ThisworkwassupportedbytheNationalNaturalScienceFoundationofChina(No.60 1 750 2 4 )and“SymbolsandKnowledgeEngineering”KeyLABoftheMinistryofEducation |
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| 摘 要： | 1 IntroductionTasteidentificationisoneofthemainapplica tionsofthepatternrecognition .Thestudyoftasteidentificationcanbetracedbacktothebeginningof90’s.Theneuralnetworkmodelrealizingtasteidentificationofthefivebasictasteswithvariousdensitywasoriginally proposedbyHaoBo[1 ] in1 994.Afterward ,withthedevelopmentofartificialintelligence,thefuzzyneuralnetworkwasusedtoidentifythebasicandsweet acidcompoundtaste[2 ] .Furthermore ,thequantitysamplinganalysisofvari ousfoodsandbeverages,suchascoffee ,r…
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Taste Identification of Tea Through a Fuzzy Neural Network Based on Fuzzy C-means Clustering |
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| ZHENG Yan,ZHOU Chun-guang. Taste Identification of Tea Through a Fuzzy Neural Network Based on Fuzzy C-means Clustering[J]. The Journal of China Universities of Posts and Telecommunications, 2003, 10(3) |
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| Authors: | ZHENG Yan ZHOU Chun-guang |
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| Abstract: | In this paper, we present a fuzzy neural network model based on Fuzzy C Means (FCM) clustering algorithm to realize the taste identification of tea. The proposed method can acquire the fuzzy subset and its membership function in an automatic way with the aid of FCM clustering algorithm. Moreover, we improve the fuzzy weighted inference approach. The proposed model is illustrated with the simulation of taste identification of tea. |
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| Keywords: | FCM fuzzy neural network taste identification |
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