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A deep learning framework for football match prediction
2020
SN Applied Sciences
An efficient framework is developed by deep neural networks (DNNs) and artificial neural network (ANNs) for predicting the outcomes of football matches. A dataset is used with the rankings, team performances, all previous international football match results and so on. ANN and DNN are used to explore and process the sporting data to generate prediction value. Datasets are divided into sections for training, validating and testing. By using the proposed DNN architecture, corresponding model
doi:10.1007/s42452-019-1821-5
fatcat:emsn7afwhfdu5eoidsdbjrzh2e