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Title:Napovedovanje zmagovalca nogometne tekme z rekurentno nevronsko mrežo LSTM : diplomsko delo
Authors:ID Planer, Nejc (Author)
ID Korže, Danilo (Mentor) More about this mentor... New window
ID Borovič, Mladen (Comentor)
Files:.pdf UN_Planer_Nejc_2019.pdf (2,17 MB)
MD5: 915D4612602198812707CF068BA022E2
PID: 20.500.12556/dkum/45b2dfcc-ce39-4017-b984-ac3ae60c40be
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu so predstavljene rekurentne nevronske mreže in primer njihove uporabe. V prvem delu je razloženo njihovo delovanje in vrsti nevronov, od katerih se kasneje uporabi celica LSTM (dolgo-kratko ročna spominska celica). To je aplicirano tudi na primerih napovedovanja zmagovalca, ali pade več kot 1,5 ali 2,5 gola na tekmo in ali obe ekipi zadeneta. Napovedljivost zmagovalca ligaških tekem je od 61 do 72 odstotkov, zmagovalca nogometnih turnirjev pa od 65 do 70 odstotkov. Uporabljene so angleška, francoska, italijanska, nemška, španska in slovenska liga ter tekmovanji Copa America in svetovno prvenstvo.
Keywords:napovedovanje, rekurentne nevornske mreže, celica LSTM, nogomet, umetna inteligenca
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[N. Planer]
Year of publishing:2019
Number of pages:VII, 40 str.
PID:20.500.12556/DKUM-74046 New window
UDC:004.032.26(043.2)
COBISS.SI-ID:22578198 New window
NUK URN:URN:SI:UM:DK:8BQVYZJH
Publication date in DKUM:04.09.2019
Views:2098
Downloads:253
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
PLANER, Nejc, 2019, Napovedovanje zmagovalca nogometne tekme z rekurentno nevronsko mrežo LSTM : diplomsko delo [online]. Bachelor’s thesis. Maribor : N. Planer. [Accessed 18 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=74046
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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:28.07.2019

Secondary language

Language:English
Title:Predicting football match winner with LSTM recurrent neural network
Abstract:This diploma thesis presents recurrent neural networks and example of their usage. In the first part it is explained how they work and their types of neurons of which LSTM cell is later used. This is applied on the examples of predicting football match winner, whether there are more than 1,5 or 2,5 goals per game and whether both teams score. The predictability of football league match winner is from 61 to 72 percent and football tournament winner from 65 to 70 percent. Used leagues are from England, France, Germany, Spain and Slovenia and tournaments Copa America and World Cup.
Keywords:prediction, recurrent neural network, LSTM cell, football, artificial intelligence


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