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  • The paper trades off two neural networks used for choose optimal way in the priority packet switching. Packet switching is one of the most important points in the IT networks. Packet has to be delivered from a sender to a receiver through packet switch with minimum time delay. Each packet can have a self priority which says how important speed of transfer is. For a fast choose preferential packets in the packet switch and theirs sending can be used neural network. Neural network decide for one state of exemplar states with minimal energetic function it mean there is optimal choose of the most preferred packets. Neural networks are based on a simple calculation with manifold parallelisms. There don't have to be fast processor for complicated evaluation but be sufficient slower processors in the packet switch. It is cheaper and faster solution. There are many types of neural networks. Every neural network has specific characteristics and different chances of usage for different problems. Two networks ar
  • The paper trades off two neural networks used for choose optimal way in the priority packet switching. Packet switching is one of the most important points in the IT networks. Packet has to be delivered from a sender to a receiver through packet switch with minimum time delay. Each packet can have a self priority which says how important speed of transfer is. For a fast choose preferential packets in the packet switch and theirs sending can be used neural network. Neural network decide for one state of exemplar states with minimal energetic function it mean there is optimal choose of the most preferred packets. Neural networks are based on a simple calculation with manifold parallelisms. There don't have to be fast processor for complicated evaluation but be sufficient slower processors in the packet switch. It is cheaper and faster solution. There are many types of neural networks. Every neural network has specific characteristics and different chances of usage for different problems. Two networks ar (en)
Title
  • Priority Switching by Means of Neural Networks
  • Priority Switching by Means of Neural Networks (en)
skos:prefLabel
  • Priority Switching by Means of Neural Networks
  • Priority Switching by Means of Neural Networks (en)
skos:notation
  • RIV/00216305:26210/09:PU86294!RIV10-MSM-26210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/07/1503), Z(MSM0021630529)
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
  • 336130
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/09:PU86294
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Neural Network, Priority Packet Switch, Optimal Selection, Hopfield neural network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [ABEC84B4544C]
http://linked.open...v/mistoKonaniAkce
  • Hodonín
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • ICSC - Seventh International Conference on Soft Computing Applied in Computer and Economic Environments
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
  • Pokorný, Petr
  • Popelka, Ondřej
  • Šťastný, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-80-7314-163-9
http://localhost/t...ganizacniJednotka
  • 26210
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