Forecasting the ranking of Iran’s national football team by FIFA. Two predicting models: artificial neural networks and autoregressive-integrated moving average
Keywords:
modeling, predicting, artificial neutral networks, FIFA ranking, autoregressive-integrated moving average
Abstract
Prediction of the ranking of the athletes in sports is a complicated task just like other subjects in politics and economics. But nowadays there are some models utilization which, we can predict, to some extent, future results and rankings. The aim of the present study is to provide a predicting model based on ARTIFICIAL NEURAL NETWORKS and Autoregressive-Integrated Moving Average, so that one can anticipate the ranking of Iran’s National Football Team [NFT] by FIFA.
Published
2012-08-22
How to Cite
Sardar, M. and Salehi, N. (2012) “Forecasting the ranking of Iran’s national football team by FIFA. Two predicting models: artificial neural networks and autoregressive-integrated moving average”, Annals of “Dunarea de Jos” University of Galati. Fascicle XV, Physical Education and Sport Management, 1, pp. 93-101. Available at: https://www.gup.ugal.ro/ugaljournals/index.php/efms/article/view/25 (Accessed: 3May2024).
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Section
Articles
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