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Team competition result prediction method based on maximum entropy model

A maximum entropy model and group technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low accuracy

Inactive Publication Date: 2015-09-09
XIANGTAN UNIV
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Problems solved by technology

However, because there are many factors affecting the strength of the group, and the degree of each factor's influence is not the same, the correct rate of prediction is very low

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  • Team competition result prediction method based on maximum entropy model

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Embodiment Construction

[0019] In order to make the features and advantages of the above object more obvious and understandable, the invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0020] As shown in Figure 1, the present invention provides a game result prediction method based on the maximum entropy model, which is characterized by the following steps:

[0021] S1 Obtains the characteristic data of the two teams participating in each game in the historical season of each team.

[0022] S2 Construct the maximum entropy model according to the principle of maximum entropy. Substitute the training data set T into the maximum entropy model to obtain the best model.

[0023] S3 Obtain the expectations of each feature data of the last n games of the contestants and substitute them into the optimal model , to calculate the distribution probability of the final game result of the home team .

[0024] In step S1, the American ...

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Abstract

The invention relates to the field of computer data mining, in particular to a team competition result prediction method based on a maximum entropy model. The method comprises the following concrete steps of: 1, obtaining feature data of two participating parts of each team in each competition in historical competition seasons; 2, constructing the maximum entropy model according to a maximum entropy principle, and substituting a training data set T into the maximum entropy model to obtain an optimum model; and 3, obtaining an expected substituting optimum model P<*>(Y|X) of each feature datum of the two participating parts in the recent n competitions, and calculating the distribution probability P<*>(Y|X) of the finial competition result of the home field competition participating team. The technical scheme of the invention provides scientific competition result prediction for people concerning the competition.

Description

technical field [0001] The invention relates to the field of computer data mining, in particular to a method for predicting team competition results based on a maximum entropy model. Background technique [0002] With the development of the Internet and the increase of people's attention to various sports competitions, group sports competitions such as the five European football leagues, the American professional football league, and the American professional basketball league have not only attracted the attention of local residents. has spread globally. Various large gaming companies and large websites analyze and predict the results of the game one after another, and game followers predict the winning or losing of a game based on their subjective preferences and the analysis given by the website. But because there are many factors that affect the strength of the group, and the degree of influence of each factor is not the same, the correct rate of prediction is very low. ...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 程戈张振宇李强李聪张云何春辉
Owner XIANGTAN UNIV
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