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  • The last square method enables us relatively quickly find required parameters, however, we are limited by the choice of the suitable sampling period. We finds other methods of identification. One possibility is to use the neural network. This paper deals with the comparison of the most used learning algorithms neural networks, mainly the Levenberg-Marquardt algorithm is discussed.
  • The last square method enables us relatively quickly find required parameters, however, we are limited by the choice of the suitable sampling period. We finds other methods of identification. One possibility is to use the neural network. This paper deals with the comparison of the most used learning algorithms neural networks, mainly the Levenberg-Marquardt algorithm is discussed. (en)
Title
  • Using of Levenberg-Marquardt Method in Identification by Neural Networks
  • Using of Levenberg-Marquardt Method in Identification by Neural Networks (en)
skos:prefLabel
  • Using of Levenberg-Marquardt Method in Identification by Neural Networks
  • Using of Levenberg-Marquardt Method in Identification by Neural Networks (en)
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  • RIV/00216305:26220/04:PU43944!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V, Z(MSM 260000013)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 591760
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  • RIV/00216305:26220/04:PU43944
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  • Neural Network, Levenberg-Marquardt, Batch Training (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0BC4BF4C0C71]
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  • Brno
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  • Brno
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  • Student EEICT 2004
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http://linked.open...UplatneniVysledku
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  • Dohnal, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
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  • Ing. Zdeněk Novotný CSc.
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  • 80-214-2636-5
http://localhost/t...ganizacniJednotka
  • 26220
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