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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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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
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e-ISSN
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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
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