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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.12 No.5
- 발행연도
- 2023.10
- 수록면
- 379 - 389 (11page)
- DOI
- 10.5573/IEIESPC.2023.12.5.379
이용수
초록· 키워드
오류제보하기
Although students’ test scores provide an important reference for teaching and learning, research scholars still need to objectively analyze the scores. Under the current situation where English performance of vocational education students does not achieve satisfactory results, this research uses a clustering algorithm to improve on the ant colony optimization algorithm. This ant colony clustering analysis algorithm is improved by incorporating two optimization strategies, and the test scores of vocational education students are introduced as the original data for cluster analysis. The optimal number of ant colonies is nine, when the three error values of the two ant colony algorithms are minimized. The convergence values of the three ant colony algorithms are smallest when there are 200 training cycles or when the training batch size is 1000, resulting in upgraded ant colony clustering algorithm convergence values of 0.498 and 1.523, respectively. The performance of the student evaluation model combined with the ant colony clustering optimization algorithm improved, followed by CF, FOA, and BP. KNN had the worst performance. Data mining on student performance can be done via research that can provide specialized advice on students" issues.
목차
Abstract
1. Introduction
2. Literature Review
3. Evaluation of Vocational Education Student Achievement
4. Evaluation of Vocational Education Students’ Performance
5. Conclusion
Reference
참고문헌 (25)
참고문헌 신청
Y. Li, H. Wei, S. Wei, and L. Zhang, “Research on innovation and entrepreneurship of higher vocational education based on citespace,” Journal of Physics: Conference Series, vol. 1883(1), pp. 012154-012162, 2021.
A. Pangarso, E. S. Astuti, K. Raharjo, and T. W. Afrianty, “Data of innovation ambidexterity as a mediator in the absorptive capacity effect on sustainable competitive advantage,” Data in Brief, vol. 29, pp. 105200-105208, 2020.
B. Kanso, A. Kansou, A. Yassine, “Open Capacitated ARC routing problem by Hybridized Ant Colony Algorithm,” RAIRO - Operations Research, vol. 55(2), pp. 639-652, 2021.
C. Zhao, and X. Li, “Parameters’ Identification of Vessel Based on Ant colony algorithm,” Mathematical Problems in Engineering, vol. 2021(2), pp. 1-13, 2021.
N. A. Mokhtari, V. Ghezavati, “Integration of efficient multi-objective ant-colony and a heuristic method to solve a novel multi-objective mixed load school bus routing model,” Applied Soft Computing, vol. 68, pp. 92-109, 2018.
A. Pangarso, E. S. Astuti, K. Raharjo, and T. W. Afrianty, “Data of innovation ambidexterity as a mediator in the absorptive capacity effect on sustainable competitive advantage,” Data in Brief, vol. 29, pp. 105200-105208, 2020.
B. Kanso, A. Kansou, A. Yassine, “Open Capacitated ARC routing problem by Hybridized Ant Colony Algorithm,” RAIRO - Operations Research, vol. 55(2), pp. 639-652, 2021.
C. Zhao, and X. Li, “Parameters’ Identification of Vessel Based on Ant colony algorithm,” Mathematical Problems in Engineering, vol. 2021(2), pp. 1-13, 2021.
N. A. Mokhtari, V. Ghezavati, “Integration of efficient multi-objective ant-colony and a heuristic method to solve a novel multi-objective mixed load school bus routing model,” Applied Soft Computing, vol. 68, pp. 92-109, 2018.
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