지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.13 No.2
- 발행연도
- 2024.4
- 수록면
- 148 - 157 (10page)
- DOI
- 10.5573/IEIESPC.2024.13.2.148
이용수
초록· 키워드
오류제보하기
Amazing changes have occurred in college education with the rapid development and popularization of science and technology in the information age. This paper proposes a design method for predicting the effect of college students’ sports performance training based on the optimized Apriori algorithm to develop a more standardized and complete physical education course training plan. The research introduces the gravitational search algorithm (GSA), and the particle swarm optimization algorithm (PSA) combines the two algorithms into a hybrid algorithm that integrates with the Apriori algorithm to form the GSA-PSO-A algorithm to predict the performance training effect of students. The algorithm was used to find valuable associated data in the data and finally conduct application analysis. The GSA-PSO algorithm reached a stable fitness value when the number of iterations was 200 and 100 in the unimodal and multimodal function tests, respectively, and the feasibility was the best. The GSA-PSO-A algorithm proposed by the research institute could effectively mine the training data of college students’ sports performance and provide a feasible path for improving the teaching of physical education courses to college students.
목차
Abstract
1. Introduction
2. Related Studies
3. Aerobics Expressive Training System based on Optimal Apriori Algorithm
4. System Performance Test and Algorithm Simulation Analysis
5. Conclusion
References
참고문헌 (23)
참고문헌 신청
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Wang C, Liu Y, Zhang Q, et al. Association Rule Mining based parameter adaptive strategy for Differential Evolution algorithms. Expert Systems with Applications, 2019, 123(JUN.):54-69. Article (CrossRef Link)
Han Y, Yu D, Yin C, et al. Temporal Association Rule Mining and Updating and Their Application to Blast Furnace in the Steel Industry. Computational Intelligence and Neuroscience, 2020, 2020(3):1-21. Article (CrossRef Link)
Nohuddin PN, Zainol Z, Hijazi M. Study of B40 Schoolchildren Lifestyles and Academic Performance using Association Rule Mining. Annals of Emerging Technologies in Computing, 2021, 5(5):60-68. Article (CrossRef Link)
Soufi MD, Ferdousi R. Association Analysis of Obesity/Overweight and Breast Cancer Using Data Mining Techniques. Frontiers in Health Informatics, 2021, 10(1):60-64. Article (CrossRef Link)
Wang C, Liu Y, Zhang Q, et al. Association Rule Mining based parameter adaptive strategy for Differential Evolution algorithms. Expert Systems with Applications, 2019, 123(JUN.):54-69. Article (CrossRef Link)
Han Y, Yu D, Yin C, et al. Temporal Association Rule Mining and Updating and Their Application to Blast Furnace in the Steel Industry. Computational Intelligence and Neuroscience, 2020, 2020(3):1-21. Article (CrossRef Link)
Nohuddin PN, Zainol Z, Hijazi M. Study of B40 Schoolchildren Lifestyles and Academic Performance using Association Rule Mining. Annals of Emerging Technologies in Computing, 2021, 5(5):60-68. Article (CrossRef Link)
Soufi MD, Ferdousi R. Association Analysis of Obesity/Overweight and Breast Cancer Using Data Mining Techniques. Frontiers in Health Informatics, 2021, 10(1):60-64. Article (CrossRef Link)
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