{"title":"Classification of wooden boards by neural networks and fuzzy rules","authors":"C.A. de Franca, A. Gonzaga, A. Slaets","doi":"10.1109/CYBVIS.1996.629462","DOIUrl":null,"url":null,"abstract":"Fuzzy-neural systems have been applied to many engineering tasks. Fuzzy neurons in pattern classification are extremely useful because they provide a degree of membership information instead of numerical critic values such as \"0\" (bad) or \"1\" (good). This paper describes a neural network application for automatic classification of wooden boards. The basic processing unit consists of two types of generic OR and AND neurons structured in a four layer topology.","PeriodicalId":103287,"journal":{"name":"Proceedings II Workshop on Cybernetic Vision","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings II Workshop on Cybernetic Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBVIS.1996.629462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Fuzzy-neural systems have been applied to many engineering tasks. Fuzzy neurons in pattern classification are extremely useful because they provide a degree of membership information instead of numerical critic values such as "0" (bad) or "1" (good). This paper describes a neural network application for automatic classification of wooden boards. The basic processing unit consists of two types of generic OR and AND neurons structured in a four layer topology.
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