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AUTHOR(S):

K. Sujatha, T. Godhavari, Nallamilli P G Bhavani

 

TITLE

Football Match Statistics Prediction using Artificial Neural Networks

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ABSTRACT

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

KEYWORDS

Artificial Neural Networks, Back propagation, sport result prediction, pattern prediction, FRES, Activation function

REFERENCES

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[3] Y. Y. Petrunin, "Analysis of the football performance: from classical methods to neural network", Conference Paper, unpublished, 2011.

[4] A. C. Constantinaou, N. E. Fenton and M. Neil, "A Bayesian network model for forecasting Association Football match outcomes", Working Papers, Queen Mary University, 2012.

[5] Andreas Heuer and Oliver Rubner, "Towards he perfect prediction of soccer matches", Westfalische Wilhelms University, Germany, In press, 2012.

[6] Andrew James Moore, "Predicting football results", Unpublished, Module code: COM 3021, May 6, 2004.

Cite this paper

K. Sujatha, T. Godhavari, Nallamilli P G Bhavani. (2018) Football Match Statistics Prediction using Artificial Neural Networks. International Journal of Mathematical and Computational Methods, 3, 1-8

 

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