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Application of ART-1 Neural Network for Pattern Recognition in Robotics (invited paper-M31)
dc.creator | Miljković, Zoran | |
dc.date.accessioned | 2023-03-01T07:38:30Z | |
dc.date.available | 2023-03-01T07:38:30Z | |
dc.date.issued | 1996 | |
dc.identifier.isbn | 80-214-0768-9 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/4820 | |
dc.description.abstract | This 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.iso | en | sr |
dc.publisher | Brno University of Technology, Faculty of Electrical Engineering and Computer Science | sr |
dc.rights | closedAccess | sr |
dc.source | Proceedings of the International A.M.S.E. Conference: Communications, Signals and Systems - CSS96 | sr |
dc.subject | ART-1 artificial neural network | sr |
dc.subject | ART Simulator_V1.0 software | sr |
dc.subject | Vision system | sr |
dc.subject | Pattern recognition | sr |
dc.subject | Intelligent industrial robot control | sr |
dc.subject | Recognition system | sr |
dc.subject | Object identification | sr |
dc.title | Application of ART-1 Neural Network for Pattern Recognition in Robotics (invited paper-M31) | sr |
dc.type | conferenceObject | sr |
dc.rights.license | ARR | sr |
dc.rights.holder | Prof. Radimír Vrba | sr |
dc.citation.epage | 238 | |
dc.citation.rank | M31 | |
dc.citation.spage | 235 | |
dc.citation.volume | 1 | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_machinery_4820 | |
dc.type.version | publishedVersion | sr |
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