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Priority Switching by Means of Neural Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F09%3APU86294" target="_blank" >RIV/00216305:26210/09:PU86294 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Priority Switching by Means of Neural Networks

  • Original language 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 ofexemplar 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 evaluationbut 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F07%2F1503" target="_blank" >GA102/07/1503: Advanced Optimizing the Design of Communication Systems via neural networks</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ICSC - Seventh International Conference on Soft Computing Applied in Computer and Economic Environments

  • ISBN

    978-80-7314-163-9

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Hodonín

  • Event date

    Jan 23, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article