VICTORK Big Data Deep Learning

Provide Winning Prediction Information

Big real-time sports game using the data, predictive information delivery platform, VICTOR-K is now presented.

Existing athletes’ special ability prediction models generally predict athletes’ special abilities after establishing a functional relationship between special performance and quality training levels through multiple regression and gray models. The linear fitting feature space of sports performance is established and the prediction model consists of a multi-parameter constraint reconstruction method with good prediction effects. To an extent, these predictive models reflect the relationship between special performance and training indicators and provide appropriate guidance for athlete training. The determination of these models is based on certain assumptions. Mathematical representations of special performance prediction models should be preset.
In fact, the functional relationship between special achievements and related factors is quite complex, and the mathematical expression assumed in advance does not fit the relationship well. As a result, the sports performance prediction model had a large error and low prediction accuracy. Due to this low accuracy, VICTORK utilized the Deep Neural Network (DNN/DSP) model.

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