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Using Artificial Neural Network for Force Profile Analysis in Professional Defence

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43872565" target="_blank" >RIV/70883521:28140/14:43872565 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using Artificial Neural Network for Force Profile Analysis in Professional Defence

  • Original language description

    In this paper the possibility of using artificial neural network (ANN) in the classification of force profiles of different striking techniques is deeply analyzed and discussed. Classification of direct punch force profiles is presented in this paper alongside with results of previous research of kick techniques classification. The results are summarized in tables and followed by discussion.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 2014 International Conference on Mathematics and Computers in Sciences and Industry (MCSI 2014)

  • ISBN

    978-1-4799-4744-7

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    0-5

  • Publisher name

    IEEE

  • Place of publication

    New Jersey, Piscataway

  • Event location

    Varna

  • Event date

    Sep 13, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article