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
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出版日期 | 2022 |
卷号 | 61期号:7页码:5351-5359 |
ISSN号 | 1110-0168 |
DOI | 10.1016/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. |
URL标识 | 查看原文 |
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 |
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. |
入库方式: OAI收割
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