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Description
  • The authors have for long been interested in the design of the network element for multimedia networks. The designed network element is not controlled sequentially, as is still usual in communication networks, but via neural networks. In this contribution the Back Propagation and the Genetic Algorithms are compared with respect to the control of neural networks.
  • The authors have for long been interested in the design of the network element for multimedia networks. The designed network element is not controlled sequentially, as is still usual in communication networks, but via neural networks. In this contribution the Back Propagation and the Genetic Algorithms are compared with respect to the control of neural networks. (en)
Title
  • Back Propagation and Genetic Algorithms for Control of the Network Element
  • Back Propagation and Genetic Algorithms for Control of the Network Element (en)
skos:prefLabel
  • Back Propagation and Genetic Algorithms for Control of the Network Element
  • Back Propagation and Genetic Algorithms for Control of the Network Element (en)
skos:notation
  • RIV/00216305:26220/11:PU95233!RIV12-MSM-26220___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(ED2.1.00/03.0072), S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
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  • 187737
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  • RIV/00216305:26220/11:PU95233
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  • Neural network, Back Propagation Algorithm, Genetic Algorithm (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1640974AB939]
http://linked.open...v/mistoKonaniAkce
  • Budapest
http://linked.open...i/riv/mistoVydani
  • Budapest, hungary
http://linked.open...i/riv/nazevZdroje
  • 34th International Conference on Telecommunications and Signal Processing
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  • Kamba, Stanislav
  • Škorpil, Vladislav
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http://linked.open...n/vavai/riv/zamer
number of pages
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  • Vysoké učení technické v Brně
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  • 978-1-4577-1409-2
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  • 26220
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