The Estimation of German Football League (Bundesliga) Team Ranking via Artificial Neural Network Model
This study was conducted to estimate the places of teams in league ranking by the analysis of the time intervals of the scored and conceded goals in football using Artificial Neural Network (ANN). In the study, the data of the minutes of the scored and conceded goals (0-15, 16-30, 31-45, 46-60, 61-7...
Saved in:
Main Authors: | Faruk Kılıç (Author), Hasan Aka (Author), Serkan İbiş (Author), Zait Burak Aktuğ (Author) |
---|---|
Format: | Book |
Published: |
Selcuk University,
2022-04-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Estimation of the Set Results in 2016/2017 Vestel Venus Sultans League Games by Artificial Neural Network
by: Hasan Aka, et al.
Published: (2021) -
The Estimation of the Set Results in 2016/2017 Vestel Venus Sultans League Games by Artificial Neural Network
by: Hasan Aka, et al.
Published: (2021) -
An investigation of leg and shoulder muscle strength ratios of elite female volleyball players
by: Cengiz Akarcesme, et al.
Published: (2017) -
Investigation of Sunk Cost Fallacy in European Football - Empirical Evidence from English Premier League and German Bundesliga
by: Selçuk Özaydın
Published: (2022) -
The Effect of Theraband Exercises on Motor Performance and Swimming Degree of Young Swimmers
by: Zait Burak Aktuğ, et al.
Published: (2019)