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Description
  • Článek se zabývá diagnostikou izolačního materiálu elektrických strojů. (cs)
  • The life of the insulating systems of electric rotary machines is strongly dependent upon electrical and thermal features of the insulating material used. The subject of the diagnostics is to specify the condition of insulation used. At present days, themost popular diagnostic tools are the methods of artificial intelligence, and one method is a neural network. However, this tool has many variable parameters, and the resulting effect is dependent upon its suitable setting. Weights and biases that conneect neurones in each layer of the neural network are ranked among these parameters. This paper is concentrated on the use of genetic algorithms for the optimization of weights and biases of the neural network that is used as a diagnostic tool for windinginsulation of electric rotary machines. In this case, the optimization of weights and biases means that the neural network exhibits the minimum absolute mean errors for the diagnostics of winding insulation. The paper describes the architecture and the
  • The life of the insulating systems of electric rotary machines is strongly dependent upon electrical and thermal features of the insulating material used. The subject of the diagnostics is to specify the condition of insulation used. At present days, themost popular diagnostic tools are the methods of artificial intelligence, and one method is a neural network. However, this tool has many variable parameters, and the resulting effect is dependent upon its suitable setting. Weights and biases that conneect neurones in each layer of the neural network are ranked among these parameters. This paper is concentrated on the use of genetic algorithms for the optimization of weights and biases of the neural network that is used as a diagnostic tool for windinginsulation of electric rotary machines. In this case, the optimization of weights and biases means that the neural network exhibits the minimum absolute mean errors for the diagnostics of winding insulation. The paper describes the architecture and the (en)
Title
  • Genetický algoritmus pro optimalizaci vah neuronové sítě. (cs)
  • The genetic algorithm used for the optimization of weights and biases of neural networks
  • The genetic algorithm used for the optimization of weights and biases of neural networks (en)
skos:prefLabel
  • Genetický algoritmus pro optimalizaci vah neuronové sítě. (cs)
  • The genetic algorithm used for the optimization of weights and biases of neural networks
  • The genetic algorithm used for the optimization of weights and biases of neural networks (en)
skos:notation
  • RIV/00216305:26210/02:PU30577!RIV06-GA0-26210___
http://linked.open.../vavai/riv/strany
  • 72-76
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/03/0621)
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
  • 646928
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/02:PU30577
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Genetic algorithm, System optimization, Neural network, Artificial intelligence (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [20D51BCC2CF2]
http://linked.open...v/mistoKonaniAkce
  • Constanta
http://linked.open...i/riv/mistoVydani
  • Constanta, Rumunsko
http://linked.open...i/riv/nazevZdroje
  • Study and control of corrosion in the perspective of sustainable development of urban distribution grids
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
  • Hammer, Miloš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • S.C.ICPE
https://schema.org/isbn
  • 973-95041-3-2
http://localhost/t...ganizacniJednotka
  • 26210
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