Research on E-learning Teaching Assistant System Based on Improved Particle Swarm Optimization Algorithm-Reference-Cited by-同舟云学术

Research on E-learning Teaching Assistant System Based on Improved Particle Swarm Optimization Algorithm

Published:2019-04-25 Issue: Volume: Page:1395-1400
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Liu Yue,Xue Jiamei,Li Meishan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-15235-2_193

Reference10 articles.

1. Xie X, Li X, Cao F, Sun L (2018) Research and implementation of e-learning teaching assistant system based on improving C4.5. J Jiamusi Univ (Nat Sci Ed) 64–67

2. Li H, Liu Z, Li S, Wang W (2017) A personalized e-learning resource recommendation method based on an improved binary particle swam optimization algorithm. J Syst Sci Math Sci 1770–1779 (2017)

3. Lin D, Li J (2010) Research on particle swarm optimization applied in group learning behavior design. J Hunan Univ Sci Technol (Nat Sci Ed) 91–93

4. Duan XD, Wang CR, Liu XD (2007) Particle Swarm Optimization and Its Application. Liaoning University Press, Shenyang

5. Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of IEEE international conference oil neural networks. IEEE Press, Proceedings of IEEE international conference oil neural networks, Piscaltaway, NJ, pp 1942–1948

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intelligent techniques in e-learning: a literature review;Artificial Intelligence Review;2023-06-14

2. Personalisation methods in e‐learning‐A literature review;Computer Applications in Engineering Education;2022-09-19

3. The Use of e-Learning Technologies in the Russian University in the Training of Engineers of the XXI Century;IOP Conference Series: Materials Science and Engineering;2020-10-08