中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Intelligent sports prediction analysis system based on improved Gaussian fuzzy algorithm

文献类型:期刊论文

作者Y. H. Men
刊名Alexandria Engineering Journal
出版日期2022
卷号61期号:7页码:5351-5359
ISSN号1110-0168
DOI10.1016/j.aej.2021.08.084
英文摘要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.
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语种英语
源URL[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
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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.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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