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Description
  • Příspěvek se zabývá odhadem vlastností sítě. S ohledem na vstupní data je důležitý pro spolehlivou analýzu vstupních dat. Po natrénování může být mapa vyhodnocena, například, s ohledem na její kvantování nebo její zachování topologie. V tomto příspěvku byla představena míra distorze a její rozbor pro měření různých aspektů SOM. Členy kvantizační funkce měří kvalitu kvantování, správné zachování topologie a vztah mezi těmito dvěma aspekty. Experimenty byly použity pro ilustraci chování členů kvantizační funkce v různých chybových scénářích. (cs)
  • This contribution described the measuring the quality of the Self-Organizing Map (SOM). We are using the SOM application for a speech signal processing in our Laboratory of Artificial Neural Networks Application (LANNA). Assessment of model properties with respect to data is important for reliable analysis of data. There was presented a distortion measure for measuring different aspects of the SOM for map units locally. The terms measure quantization quality, the goodness of topological preservation, and the stress between these two aspects. Experiments were used for illustrate the behaviour of the distortion measure terms in different error scenarios. My aim was to introduce the different between terms of the distortion measure.
  • This contribution described the measuring the quality of the Self-Organizing Map (SOM). We are using the SOM application for a speech signal processing in our Laboratory of Artificial Neural Networks Application (LANNA). Assessment of model properties with respect to data is important for reliable analysis of data. There was presented a distortion measure for measuring different aspects of the SOM for map units locally. The terms measure quantization quality, the goodness of topological preservation, and the stress between these two aspects. Experiments were used for illustrate the behaviour of the distortion measure terms in different error scenarios. My aim was to introduce the different between terms of the distortion measure. (en)
Title
  • The Self-Organizing Map Distortion Measure
  • Míra distorze pro samoorganizující se mapy (cs)
  • The Self-Organizing Map Distortion Measure (en)
skos:prefLabel
  • The Self-Organizing Map Distortion Measure
  • Míra distorze pro samoorganizující se mapy (cs)
  • The Self-Organizing Map Distortion Measure (en)
skos:notation
  • RIV/68407700:21230/07:03137954!RIV08-MZ0-21230___
http://linked.open.../vavai/riv/strany
  • Nečíslováno
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(NR8287)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 449323
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03137954
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Criterial function; SOM; Self-Organizing maps (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AEFC40F1EE3B]
http://linked.open...v/mistoKonaniAkce
  • Žilina
http://linked.open...i/riv/mistoVydani
  • Žilina
http://linked.open...i/riv/nazevZdroje
  • Proceedings CD-ROM of Digital Technologies 2007
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Zetocha, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Slovenská elektrotechnická společnost
https://schema.org/isbn
  • 978-80-8070-786-6
http://localhost/t...ganizacniJednotka
  • 21230
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