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SVM-based basketball game result prediction method

A prediction method, the technology of basketball, applied in the field of basketball data analysis, can solve the problems of poor performance, too long data collection cycle, etc., to achieve the effect of eliminating internal noise of samples and internal noise of features, cost saving, and high prediction accuracy

Pending Publication Date: 2019-07-16
SHANTOU UNIV +1
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AI Technical Summary

Problems solved by technology

Therefore, the cycle of data collection cannot be too long, and when the amount of training data is small, the performance of prediction may be worse

Method used

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  • SVM-based basketball game result prediction method
  • SVM-based basketball game result prediction method
  • SVM-based basketball game result prediction method

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Embodiment Construction

[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts all belong to the protection scope of the present invention.

[0037] see figure 1 , is a schematic flow chart of an embodiment of the SVM-based basketball game result prediction method provided by the present invention, as figure 1 As shown, the method includes step 101 to step 105, and each step is specifically as follows:

[0038] Step 101: Obtain several game data of the home team and the visiting team respectively, extract the eigenvectors of the home team and the visiting team respectively, and wei...

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Abstract

The invention discloses an SVM-based basketball game result prediction method, and the method comprises the steps: obtaining a plurality of game data of a home team and a guest team, extracting feature vectors of the home team and the guest team, and carrying out the weighting of all the feature vectors of the home team and the guest team according to a preset index attenuation weighting strategy;obtaining N*K subsets in total according to a bootstrap sampling method and a Random subspace method of bagging; constructing N*K SVM classifiers at the same time, taking the N*K subsets as input ofthe N*K SVM classifiers, and outputting N*K confidence factors; and according to the N*K confidence factors and a preset voting rule, obtaining a preset result of the basketball game result of the main team and the guest team. By adopting the technical scheme of the invention, the influence of internal noise on the prediction result can be solved, and the prediction accuracy is improved.

Description

technical field [0001] The present invention relates to the technical field of basketball data analysis, in particular to a method for predicting basketball game results based on SVM. Background technique [0002] Prediction of basketball game results can not only satisfy the curiosity of the audience, but also help the coaches to measure properly. Because there are many factors that affect the results of basketball games, such as environmental factors, unpredictable luck, unexpected injuries to key players, and in basketball games, because the performance of players does not only depend on independent individual abilities, but It is dependent on complex coordination in the game. Therefore, the result of a game is not the sum of the abilities of the players, but an overall level of teamwork based on different strategies. In addition, in the group stage, teams accumulate points in pairs, and the result of the game cannot directly show the level of each team among all partic...

Claims

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Application Information

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IPC IPC(8): G06F17/18G06K9/62G06Q10/04
CPCG06F17/18G06Q10/04G06F18/2411
Inventor 蔡伟鸿喻定杜鑫姚名锋
Owner SHANTOU UNIV
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