Predicting the success of nations at the Summer Olympics using neural networks
Computers and Operations Research
Genetic Algorithms and Manufacturing Systems Design
Genetic Algorithms and Manufacturing Systems Design
Fuzzy model tuning based on a training set with fuzzy model output values
Cybernetics and Systems Analysis
A compound framework for sports results prediction: A football case study
Knowledge-Based Systems
A strategy in sports betting with the nearest neighbours search and genetic algorithms
Annales UMCS, Informatica
Multilayer perceptron for prediction of 2006 world cup football game
Advances in Artificial Neural Systems
Sports knowledge management and data mining
Annual Review of Information Science and Technology
pi-football: A Bayesian network model for forecasting Association Football match outcomes
Knowledge-Based Systems
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A model is proposed for predicting the result of a football match from the previous results of both teams. This model underlies the method of identifying nonlinear dependencies by fuzzy knowledge bases. Acceptable simulation results can be obtained by tuning fuzzy rules using tournament data. The tuning procedure implies choosing the parameters of fuzzy-term membership functions and rule weights by a combination of genetic and neural optimization techniques.