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Title:Primerjava metod za avtomatsko načrtovanje športnih treningov : magistrsko delo
Authors:ID Gašić, Tara (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
ID Pokrivač, Izidor (Comentor)
Files:.pdf MAG_Gasic_Tara_2019.pdf (1,83 MB)
MD5: D7AA1FCEFDCC618B87F882DCF0D51AC3
PID: 20.500.12556/dkum/608c0e85-7066-4efa-9011-5105fa4da5d3
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Ljudje imamo izjemno sposobnost za tek, ki ima na naš organizem tako s psihičnega kot fizičnega vidika blagodejne učinke. Vendar se v sodobnem svetu vse bolj pojavlja problem telesne neaktivnosti in pomanjkanja motivacije. Vzroki so različni, med pomembnejšimi je pomanjkanje znanja o učinkovitem pristopu k športnemu treniranju. Učinkovitega športnega treniranja se lahko lotimo s pomočjo rešitev, ki temeljijo na računski inteligenci. V magistrskem delu smo poiskali in pregledali obstoječe metode, ki omogočajo avtomatsko načrtovanje športnih treningov. Izbrane metode smo med seboj primerjali. Na podlagi primerjave smo izbrali eno obstoječo metodo, jo modificirali in implementirali. Končni rezultat je bil uspešno generiran tekaški športni trening.
Keywords:avtomatsko načrtovanje, računska inteligenca, športni trening, tek
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[T. Gašić]
Year of publishing:2019
Number of pages:XI, 81 str.
PID:20.500.12556/DKUM-74361 New window
UDC:004.8(043.2)
COBISS.SI-ID:22828054 New window
NUK URN:URN:SI:UM:DK:HEDSRWVN
Publication date in DKUM:11.11.2019
Views:1689
Downloads:149
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:25.08.2019

Secondary language

Language:English
Title:A comparison of methods for automatic planning of sport training sessions
Abstract:We humans have an exceptional ability to run, which has beneficial effects on our body, both psychologically and physically. However, in today's world there is a growing problem of physical inactivity and lack of motivation. The causes are different. One of them is a lack of knowledge of an effective approach to sports training. Effective sports training can be addressed through computational intelligence-based solutions. In the master's thesis we therefore searched for and reviewed the existing methods that enable automatic planning of sports training. Then we made a comparison of the selected methods. Based on the comparison, we selected one existing method, we modified and implemented it. The result was successfully generated running sports training.
Keywords:automatic planning, computational intelligence, sports training, running


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