scholarly journals Research on Sports Training Decision Support System Based on Improved Association Rules Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Linhai Shao
Keyword(s):  
College Students ◽  
Decision Support ◽  
Network Security ◽  
Physical Exercise ◽  
Decision Support System ◽  
Association Rules ◽  
Support System ◽  
Model Simulation ◽  
Training Methods ◽  
Sports Training

In my country, college students’ physical exercise is mainly through physical exercise and amateur sports, which is basically in a state of disorder. Based on the improved association rules, this paper introduces the auxiliary decision support system for college students’ sports training. First, we introduced a network security method and designed a sports training decision support system based on network security. Secondly, based on the Apriori algorithm, we have realized the organic integration of all aspects of college students’ sports, applied scientific training theories and advanced training methods to the management of college students’ sports training, and generated new knowledge rules through data mining technology, enriching knowledge. Finally, according to user input, select the corresponding model and combine with the rules in the knowledge base to generate a reasonable exercise training plan. After model simulation and example verification, the sports training decision support system based on the improved association rule prior algorithm designed in this paper has good applicability and efficiency.

Research on decision support system of sports assistant teaching and training based on association rules and support vector machine

2021 ◽  
pp. 1-12
Author(s):  
Tong-Zhigang
Keyword(s):  
Decision Making ◽  
Support Vector Machine ◽  
Decision Support ◽  
Decision Support System ◽  
Association Rules ◽  
Support System ◽  
Support Vector ◽  
Learning And Teaching ◽  
Decision Making System ◽  
And Training

In the decision-making system of sports assistant teaching and training, the performance of such system is not robust to different situations with a low accuracy. To solve the problems in the decision-making system, we proposed a decision-making method combining association rules and support vector machine (SVM) in this paper. First of all, we give a computer-aided decision support system for sports assistant learning and teaching training, which is fully elaborated from three aspects: virtual reality (VR) technology, VR based sports assistant learning and teaching and situational cognition, and VR based sports assistant learning and teaching mode. After that, the paper gives the feature extraction of sports auxiliary teaching training through association rules and the decision-making of the extracted association rules by SVM. We have done two different experiments for both association rules mining and SVM on both experiment group and control group of databases. Experimental results have shown that the training characteristics of sports auxiliary teaching very well. In the decision support of association rules, compared with the existing BP neural network, linear discriminant analysis and naive Bayes and other methods, the SVM method has better effect of action recognition in decision support system of sports assistant teaching and training. The robustness is the best for the application of SVM. We provide a new perspective for the decision support of sports auxiliary teaching training by using association rules and SVM. Through the method of this paper, we can obtain better decision-making effect and more robust process of sports auxiliary teaching and training.

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