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Decomposing Functionality of the Feature Recognizer Based on Artificial Neural Network System

dc.creatorMiljković, Zoran
dc.creatorBabić, Bojan
dc.date.accessioned2023-02-24T06:59:54Z
dc.date.available2023-02-24T06:59:54Z
dc.date.issued1999
dc.identifier.isbn0-620-24836-X
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/4551
dc.description.abstractThe paper shows the simulation results of a completely new application of the ART-1 artificial neural network in the analysis of geometric and technological similarity of axis symmetric cylindrical parts, which significantly accelerates and automates the design of group technology. Decomposing functionality of the proposed feature recognizer is based on Artificial Neural Network System implementation with analysis of the manufacturing properties of the work-piece reproducibility.sr
dc.language.isoensr
dc.publisherIAAMSAD and the South African Branch of the Academy on Nonlinear Sciences, Durban-South Africasr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/share-your-work/public-domain/cc0/
dc.sourceDevelopment and Practice of Artificial Intelligence Techniques – ICAI 99sr
dc.subjectFeature recognizersr
dc.subjectDecomposing functionalitysr
dc.subjectWork-piece reproducibilitysr
dc.subjectArtificial neural network systemsr
dc.subjectGeometric and technological work-piece similaritysr
dc.titleDecomposing Functionality of the Feature Recognizer Based on Artificial Neural Network Systemsr
dc.typeconferenceObjectsr
dc.rights.licenseCC0sr
dc.rights.holderProf. Vladimir B. Bajićsr
dc.citation.epage250
dc.citation.rankM33
dc.citation.spage248
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_machinery_4551
dc.type.versionpublishedVersionsr


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