A novel comparative study of NNAR approach with linear stochastic time series models in predicting tennis player's performance

Abstract Background Prediction models have gained immense importance in various fields for decision-making purposes. In the context of tennis, relying solely on the probability of winning a single match may not be sufficient for predicting a player's future performance or ranking. The performan...

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主要な著者: Abdullah M. Almarashi (著者), Muhammad Daniyal (著者), Farrukh Jamal (著者)
フォーマット: 図書
出版事項: BMC, 2024-01-01T00:00:00Z.
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