Football Match Statistics Prediction using Artificial Neural Networks

AUTHOR(S):

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

TITLE

Football Match Statistics Prediction using Artificial Neural Networks

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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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