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| An Intelligent Approach to Sensory Evaluation: LVQ Neural Network | |
| 作者姓名： | 丁香乾 杨宁 肖协忠 |
| 作者单位： | Information Engineering Center，Ocean University of China，266071，Department of Computer Science，Ocean University of China，266071，Qingdao Etsong Tobacco Group，Qingdao，266071 |
| 摘 要： | IntroductionAsanimportantaspectofproductQualityControl,sensoryevaluationtraditionallydependsonexpertassessmentorpanelassessment.Butitsresultsisstronglyrelatedtosomeuncertainfactorssuchascapacityofpanelist,individualsownpreference,emotionalstateandsoon.Thecostofevaluationisrelativelyhigh,anditisnoteasytoassessagreatquantityofsamples.Therefore,thereisanobviousrequirementforsomemoreobjectiveandfasterapproachesforsensoryevaluation.Sensoryqualityindexes,suchasmouthssensetobeer,stimulationtocigare… |
An Intelligent Approach to Sensory Evaluation:LVQ Neural Network |
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| DING Xiang-qianInformation Engineering Center,Ocean University of China, YANG Ning.An Intelligent Approach to Sensory Evaluation: LVQ Neural Network[J].Journal of Donghua University,2004,21(3). | |
| Authors: | DING Xiang-qianInformation Engineering Center Ocean University of China YANG Ning |
| Institution: | 1. Information Engineering Center, Ocean University of China, 266071 2. Department of Computer Science, Ocean University of China, 266071 3. Qingdao Etsong Tobacco Group, Qingdao, 266071 |
| Abstract: | Converting between "fuzzy concept" and "numerical value" in computer aided assessment is rather difficult in many applications. This paper presents a LVQ neural network paradigm for sensory evaluation. This intelligent approach utilizes predefined class information for supervised learning in order to solve the converting problem and keep the fuzziness and imprecision of the whole sensory information. The method is validated by the experiment on stimulation evaluation of cigarette sensory. |
| Keywords: | LVQ Network Sensory Evaluation Classification Fuzzy Evaluation Index |
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