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dc.creatorMiljković, Zoran
dc.date.accessioned2023-03-01T07:38:30Z
dc.date.available2023-03-01T07:38:30Z
dc.date.issued1996
dc.identifier.isbn80-214-0768-9
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/4820
dc.description.abstractThis invited paper presents an algorithm for effective machine learning of the ART-1 artificial neural network and shows the convenience of applying this network for object identification, on the basis of which the zero version of the "ART Simulator V1.0" software was developed for new generation of the recognition systems which are used today within the pattern recognition of intelligent industrial robot vision system.sr
dc.language.isoensr
dc.publisherBrno University of Technology, Faculty of Electrical Engineering and Computer Sciencesr
dc.rightsclosedAccesssr
dc.sourceProceedings of the International A.M.S.E. Conference: Communications, Signals and Systems - CSS96sr
dc.subjectART-1 artificial neural networksr
dc.subjectART Simulator_V1.0 softwaresr
dc.subjectVision systemsr
dc.subjectPattern recognitionsr
dc.subjectIntelligent industrial robot controlsr
dc.subjectRecognition systemsr
dc.subjectObject identificationsr
dc.titleApplication of ART-1 Neural Network for Pattern Recognition in Robotics (invited paper-M31)sr
dc.typeconferenceObjectsr
dc.rights.licenseARRsr
dc.rights.holderProf. Radimír Vrbasr
dc.citation.epage238
dc.citation.rankM31
dc.citation.spage235
dc.citation.volume1
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_machinery_4820
dc.type.versionpublishedVersionsr


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