Intelligent sports prediction analysis system based on improved Gaussian fuzzy algorithm

doi:10.1016/j.aej.2021.08.084

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	Intelligent sports prediction analysis system based on improved Gaussian fuzzy algorithm
	Y. H. Men
	2022
发表期刊	Alexandria Engineering Journal
ISSN	1110-0168
卷号	61 期号:7 页码:5351-5359
摘要	In order to improve the effect of intelligent sports prediction and analysis, this paper analyzes the traditional high-speed model and proposes a reliable sports action recognition algorithm on this basis. With this algorithm as the core algorithm, sports action recognition can be performed. The paper mainly constructs a standard database structure, inputs a reliable standardized movement model into the database structure, and compares the identified sports movement model with the standard movement model to judge the accuracy of the sports movement. Moreover, this paper uses statistical analysis to study sports training and sports competitions, and obtains prediction results through multi-factor analysis and comparison. In addition, this paper uses statistical methods to process experimental data to draw graphs and tables that can visually observe the results of sports predictive analysis. From the experimental analysis, it can be seen that the algorithm model constructed in this paper has a significant effect. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
DOI	10.1016/j.aej.2021.08.084
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收录类别	sci
语种	英语
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文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/66764
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Y. H. Men. Intelligent sports prediction analysis system based on improved Gaussian fuzzy algorithm[J]. Alexandria Engineering Journal,2022,61(7):5351-5359.
APA	Y. H. Men.(2022).Intelligent sports prediction analysis system based on improved Gaussian fuzzy algorithm.Alexandria Engineering Journal,61(7),5351-5359.
MLA	Y. H. Men."Intelligent sports prediction analysis system based on improved Gaussian fuzzy algorithm".Alexandria Engineering Journal 61.7(2022):5351-5359.

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