Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2047
Title: A comparative study on neural network based soccer result prediction
Authors: Aslan, Burak Galip
İnceoğlu, Mustafa Murat
Keywords: Neural networks
Artificial intelligence
Graphic methods
Vector quantization
Prediction systems
Issue Date: 2007
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Aslan, B. G., and İnceoğlu, M. M. (2007). A comparative study on neural network based soccer result prediction. Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007), 545-550. doi:10.1109/ISDA.2007.12
Abstract: This study mainly remarks the efficiency of black-box modeling capacity of neural networks in the case of forecasting soccer match results, and opens up several debates on the nature of prediction and selection of input parameters. The selection of input parameters is a serious problem in soccer match prediction systems based on neural networks or statistical methods. Several input vector suggestions are implemented in literature which is mostly based on direct data from weekly charts. Here in this paper, two different input vector parameters have been tested via learning vector quantization networks in order to emphasize the importance of input parameter selection. The input vector parameters introduced in this study are plain and also meaningful when compared to other studies. The results of different approaches presented in this study are compared to each other, and also compared with the results of other neural network approaches and statistical methods in order to give an idea about the successful prediction performance. The paper is concluded with discussions about the nature of soccer match forecasting concept that may draw the interests of researchers willing to work in this area.
Description: 7th International Conference on Intelligent Systems Design and Applications, ISDA'07; Rio de Janeiro; Brazil; 22 October 2007 through 24 October 2007
URI: http://doi.org/10.1109/ISDA.2007.12
http://hdl.handle.net/11147/2047
ISBN: 9780769529769
ISSN: 2164-7143
2164-7143
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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