Application of ART-1 Neural Network for Pattern Recognition in Robotics (invited paper-M31)
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Prof. Radimír Vrba
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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.
Keywords:
ART-1 artificial neural network / ART Simulator_V1.0 software / Vision system / Pattern recognition / Intelligent industrial robot control / Recognition system / Object identificationSource:
Proceedings of the International A.M.S.E. Conference: Communications, Signals and Systems - CSS96, 1996, 1, 235-238Publisher:
- Brno University of Technology, Faculty of Electrical Engineering and Computer Science
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Mašinski fakultetTY - CONF AU - Miljković, Zoran PY - 1996 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4820 AB - 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. PB - Brno University of Technology, Faculty of Electrical Engineering and Computer Science C3 - Proceedings of the International A.M.S.E. Conference: Communications, Signals and Systems - CSS96 T1 - Application of ART-1 Neural Network for Pattern Recognition in Robotics (invited paper-M31) EP - 238 SP - 235 VL - 1 UR - https://hdl.handle.net/21.15107/rcub_machinery_4820 ER -
@conference{ author = "Miljković, Zoran", year = "1996", 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.", publisher = "Brno University of Technology, Faculty of Electrical Engineering and Computer Science", journal = "Proceedings of the International A.M.S.E. Conference: Communications, Signals and Systems - CSS96", title = "Application of ART-1 Neural Network for Pattern Recognition in Robotics (invited paper-M31)", pages = "238-235", volume = "1", url = "https://hdl.handle.net/21.15107/rcub_machinery_4820" }
Miljković, Z.. (1996). Application of ART-1 Neural Network for Pattern Recognition in Robotics (invited paper-M31). in Proceedings of the International A.M.S.E. Conference: Communications, Signals and Systems - CSS96 Brno University of Technology, Faculty of Electrical Engineering and Computer Science., 1, 235-238. https://hdl.handle.net/21.15107/rcub_machinery_4820
Miljković Z. Application of ART-1 Neural Network for Pattern Recognition in Robotics (invited paper-M31). in Proceedings of the International A.M.S.E. Conference: Communications, Signals and Systems - CSS96. 1996;1:235-238. https://hdl.handle.net/21.15107/rcub_machinery_4820 .
Miljković, Zoran, "Application of ART-1 Neural Network for Pattern Recognition in Robotics (invited paper-M31)" in Proceedings of the International A.M.S.E. Conference: Communications, Signals and Systems - CSS96, 1 (1996):235-238, https://hdl.handle.net/21.15107/rcub_machinery_4820 .