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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F09%3APU86294%21RIV10-MSM-26210___
rdf:type
n20:Vysledek skos:Concept
dcterms:description
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
dcterms:title
Priority Switching by Means of Neural Networks Priority Switching by Means of Neural Networks
skos:prefLabel
Priority Switching by Means of Neural Networks Priority Switching by Means of Neural Networks
skos:notation
RIV/00216305:26210/09:PU86294!RIV10-MSM-26210___
n3:aktivita
n16:Z n16:P
n3:aktivity
P(GA102/07/1503), Z(MSM0021630529)
n3:dodaniDat
n4:2010
n3:domaciTvurceVysledku
n8:1250019 n8:8810419 n8:8855978
n3:druhVysledku
n21:D
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
336130
n3:idVysledku
RIV/00216305:26210/09:PU86294
n3:jazykVysledku
n19:eng
n3:klicovaSlova
Neural Network, Priority Packet Switch, Optimal Selection, Hopfield neural network
n3:klicoveSlovo
n5:Priority%20Packet%20Switch n5:Optimal%20Selection n5:Neural%20Network n5:Hopfield%20neural%20network
n3:kontrolniKodProRIV
[ABEC84B4544C]
n3:mistoKonaniAkce
Hodonín
n3:mistoVydani
Neuveden
n3:nazevZdroje
ICSC - Seventh International Conference on Soft Computing Applied in Computer and Economic Environments
n3:obor
n18:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n6:GA102%2F07%2F1503
n3:rokUplatneniVysledku
n4:2009
n3:tvurceVysledku
Popelka, Ondřej Šťastný, Jiří Pokorný, Petr
n3:typAkce
n7:WRD
n3:zahajeniAkce
2009-01-23+01:00
n3:zamer
n12:MSM0021630529
s:numberOfPages
5
n10:hasPublisher
Neuveden
n22:isbn
978-80-7314-163-9
n9:organizacniJednotka
26210