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Description
  • The data on power faults have been collected in Czech Republic for several years now, but the common framework which allowed to combine them into one large dataset was completed recently. The next step is to analyze this data and present the underlying knowledge in such a way, that can be easily understood. In this paper, we will describe the SOM method (and its modification introduced in WEBSOM), based on Kohonen self-organizing neural network, which was already successfully used in many areas and is known to capture underlying concepts.
  • The data on power faults have been collected in Czech Republic for several years now, but the common framework which allowed to combine them into one large dataset was completed recently. The next step is to analyze this data and present the underlying knowledge in such a way, that can be easily understood. In this paper, we will describe the SOM method (and its modification introduced in WEBSOM), based on Kohonen self-organizing neural network, which was already successfully used in many areas and is known to capture underlying concepts. (en)
Title
  • Power Fault Data Analysis and Visualisation via SOM Neural Networks
  • Power Fault Data Analysis and Visualisation via SOM Neural Networks (en)
skos:prefLabel
  • Power Fault Data Analysis and Visualisation via SOM Neural Networks
  • Power Fault Data Analysis and Visualisation via SOM Neural Networks (en)
skos:notation
  • RIV/61989100:27240/06:00021146!RIV11-AV0-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300414)
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
  • 493550
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/06:00021146
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • WEBSOM, SOM, neural networks, power faults (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D7FB8D20A8CD]
http://linked.open...v/mistoKonaniAkce
  • Gaborone, Botswana
http://linked.open...i/riv/mistoVydani
  • Benalmadena, Malaga,
http://linked.open...i/riv/nazevZdroje
  • International Association of Science and Technology for Development
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
  • Dvorský, Jiří
  • Martinovič, Jan
  • Moravec, Pavel
  • Snášel, Václav
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000243783000008
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IASTED
https://schema.org/isbn
  • 978-0-88986-614-0
http://localhost/t...ganizacniJednotka
  • 27240
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