Computational intelligence for classification of patterned glass manufacturing using data from a glass furnace model

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dc.contributor.authorCOSTA, H. R. D. N.
dc.contributor.authorLA NEVE, A.
dc.date.accessioned2022-01-12T22:02:09Z
dc.date.available2022-01-12T22:02:09Z
dc.date.issued2012-11-20
dc.description.abstractThe aim of this work is to verify the efficiency of Fuzzy Decision Tree (FID 3.4) and other algorithms in the classification of patterned glass in a manufacturing glass process, using Brazilian Union of Glass (UBV) database. The database 'UBV' consists of the operating variables of the furnace. These Fuzzy algorithms were used as a tool to help selecting the most adequate temperature necessary to process the patterned glass, and so reduce defects in end products. For this purpose a Model of Manufactures was used to study the process of manufacturing patterned glass. The classification obtained through the Fuzzy Decision Tree was compared with the results obtained in the manufacture of patterned glass. The classifications obtained in the manufacture and in the FID 3.4 software were also compared with the classification obtained with different algorithms, such as CART (Classification and Regression Tree) and Artificial Neural Network (ANN). © 2012 IEEE.
dc.description.firstpage1643
dc.description.lastpage1648
dc.identifier.citationCOSTA, H. R. D. N.; LA NEVE, A. Computational intelligence for classification of patterned glass manufacturing using data from a glass furnace model. 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012, p. 1643-1648, 2012.
dc.identifier.doi10.1109/SCIS-ISIS.2012.6505201
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4116
dc.relation.ispartof6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
dc.rightsAcesso Restrito
dc.titleComputational intelligence for classification of patterned glass manufacturing using data from a glass furnace model
dc.typeArtigo de evento
fei.scopus.citations0
fei.scopus.eid2-s2.0-84877811231
fei.scopus.subjectClassification and regression tree
fei.scopus.subjectEnd-products
fei.scopus.subjectFuzzy algorithms
fei.scopus.subjectFuzzy decision trees
fei.scopus.subjectGlass-manufacturing
fei.scopus.subjectOperating variables
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84877811231&origin=inward
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