Football Match Statistics Prediction using Artificial Neural Networks
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The predictions of the outcomes of football (American soccer) matches are widely done using the if-else case based Football Result Expert System (FRES). The proposed prediction technique uses a neural network approach to predict the results of football matches. The neural network detects patterns from a number of factors affecting the outcome of a match making use of historical cases of training. This paper describes the inputs, outputs and compares the results of this kind of a system
[1] Anthony Constantinou,et al. pi-football: A Bayesian network model for forecasting Association Football match outcomes , 2012, Knowl. Based Syst..
[2] Byungho Min,et al. A Compound Framework for Sports Prediction: The Case Study of Football , 2007 .
[3] Andreas Heuer,et al. Towards the perfect prediction of soccer matches , 2012 .