A Neuro-fuzzy Logic Model Application for Predicting the Result of a Football Match
Many various models have been proposed with the goal of estimating the factors that determine the winner and losers in a football match, and many other models have been proposed with the goal of estimating the elements that determine the winner and losers in a football match. Predicting the result of a football match has been the interest of many gamblers and football fans all over the world. In this research, a Neuro-fuzzy logic model for forecasting the outcome of a football match is proposed. The suggested model comprises two phases: the first utilizes a neural network model to generate the primary factors that impact team performance; the second phase uses a neural network model to generate the major factors that affect team performance. In the second phase, a fuzzy logic model is used to forecast the outcome of a football match. MatLab 2008 was used to simulate the proposed system. In order to forecast the winner and loser of each football match, the model took into account a variety of parameters that affect both the host team and the visiting squad. The results show that the Neurofuzzy logic technique is an effective tool for forecasting the outcome of a football match.
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