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Erschienen in: The Journal of Supercomputing 10/2022

07.03.2022

A basketball game prediction system based on artificial intelligence

verfasst von: Meihong Chen, Fuzhi Su

Erschienen in: The Journal of Supercomputing | Ausgabe 10/2022

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Abstract

Many people will attempt to predict competition results before a basketball game. The sports lottery coupons are one way of predicting the results. However, for lottery fans, the prediction accuracy rate will be low. The most common method is to refer to the many professional ball analysts who evaluate the results before the start of the game based on their professional abilities and experience of analysing games and, subsequently, attempt to predict the competition results. However, the ball analyst will only make predictions for specific games. Therefore, in order to improve the accuracy rate of predicting games, the accuracy rate should be higher than that of lottery fans and experts in relation to the predictions for most games. Since many basketball games are considered with regard to scoring, rebounds, etc., it is impossible to ascertain which game parameter is more important in the competitions. A basketball game prediction system based on fuzzy theory is proposed. Its prediction mechanism is to capture the game parameters during a certain period of time in the past and observe their changes as the basis for predicting the game. Fuzzy theory will be used to analyse the importance of game parameters, highlight the more important parameters and predict the outcome of the game. The more important game parameters will be identified by means of fuzzy theory and will be compared with other statistical methods to analyse the prediction accuracy of the advantageous game parameters. The experiment results that the game parameters have identified are particularly important, and the proposed method can obtain a higher prediction accuracy rate of the game.

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Metadaten
Titel
A basketball game prediction system based on artificial intelligence
verfasst von
Meihong Chen
Fuzhi Su
Publikationsdatum
07.03.2022
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 10/2022
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-022-04375-w

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