| Title of paper:
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Generalized net model of hierarchical neural networks
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| Author(s):
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| Krassimir Atanassov
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Institute of Biophysics and Biomedical Engineering, Bulgarian Academy Sciences, 1 “Prof. Yakimov” Blvd, Burgas–8010, Bulgaria
“Prof. Asen Zlatarov” University
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| krat@bas.bg
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| Sotir Sotirov
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| “Prof. Asen Zlatarov” University, 1 “Prof. Yakimov” Blvd, Burgas–8010, Bulgaria
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| ssotirov@btu.bg
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| Anthony Shannon
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| Faculty of Engineering & IT, University of Technology, Sydney, Sydney, NSW 2007, Australia
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| Anthony.Shannon@uts.edu.au
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| Presented at:
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13th IWGN, London, 29 October 2012
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| Published in:
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Conference proceedings, pages 8—14
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| Download:
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 PDF (81 Kb, File info)
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| Abstract:
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We construct here a Generalized Net (GN) that represents the functioning and the results of the work of real processes and simultaneously – the processes of their control and optimization on the basis of different suitably chosen hierarchical neural networks solving concrete optimization procedures and using information generated in the GN.
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| Keywords:
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Control, Generalized net, Neural network, Optimization.
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| AMS Classification:
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68Q85, 62M45.
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| References:
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- Atanassov, K., On a new hierarchical operator over the Generalized Nets. Part III, Proc. of the Third Int. Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Warszawa, 7–8 Sept 2003, 35–40.
- Atanassov, K., S. Sotirov, Optimization of a neural network of self-organizing maps type with time-limits by a generalized net, Advanced Studies in Contemporary Mathematics, Vol. 13, 2006, No. 2, 213–220.
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