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Title:Napovedovanje zmagovalca nogometne tekme z rekurentno nevronsko mrežo LSTM : diplomsko delo
Authors:Planer, Nejc (Author)
Korže, Danilo (Mentor) More about this mentor... New window
Borovič, Mladen (Co-mentor)
Files:.pdf UN_Planer_Nejc_2019.pdf (2,17 MB)
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
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
Year of publishing:2019
Place of performance:Maribor
Publisher:[N. Planer]
Number of pages:VII, 40 str.
Source:Maribor
UDC:004.032.26(043.2)
COBISS_ID:22578198 Link is opened in a new window
NUK URN:URN:SI:UM:DK:8BQVYZJH
License:CC BY-NC-ND 4.0
This work is available under this license: Creative Commons Attribution Non-Commercial No Derivatives 4.0 International
Views:178
Downloads:58
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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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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