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《Computer Engineering》 2012-17
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Neural Network Composite Classifying Method for Visible Foreign Body in Healthy Wine

ZHU Hui-hui,WANG Yao-nan(College of Electrical and Information Engineering,Hunan University,Changsha 410082,China)  
As for the difficulty of classifying visible foreign body with little size and complex shapes in healthy wine,a hybrid classifying method using neural network based on visible foreign body characteristics is proposed.The hairs are detected by the single-layer perception.Other kinds of particles are classified by BP neural network.In order to improve the BP network training speed,an improved learning algorithm with adaptive momentum factor and learning rate is presented.Experiment results show that this hybrid classified method has high accuracy and fast identification speed.
【Fund】: 国家“863”计划基金资助项目(2007AA04Z244);; 国家自然科学基金资助重点项目(60835004)
【CateGory Index】: TS262.91
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