| PSO和K均值混合分类算法在远程教学系统中的应用 |
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| 引用本文： | 夏淑华.PSO和K均值混合分类算法在远程教学系统中的应用[J].计算机与现代化,2011(5):144-146. |
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| 作者姓名： | 夏淑华 |
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| 作者单位： | 湖南司法警官职业学院管理系,湖南,长沙,410131 |
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| 摘 要： | 现行的多数网络教学系统在学生按需学习和＂因材施教＂上存在局限性,本文用PSO和K均值的混合分类算法对传统的网络教学系统进行改进,根据获取的用户基本信息和兴趣特征进行聚类,充分体现＂以学习者为中心＂个性化教学模式。实验结果表明,该算法具有较好的全局收敛性,寻优能力明显提升。
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| 关 键 词： | 远程教学系统 建构主义 粒子群算法 K均值算法 |
Application of Hybrid of Particle Swarm Algorithm and K-means Algorithm in Remote Education System |
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| XIA Shu-hua.Application of Hybrid of Particle Swarm Algorithm and K-means Algorithm in Remote Education System[J].Computer and Modernization,2011(5):144-146. |
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| Authors: | XIA Shu-hua |
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| Affiliation: | XIA Shu-hua(Management Department,Hunan Vocational College of Judicial Police,Changsha 410131,China) |
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| Abstract: | Most of the network teaching system has limitation in the student on-demand learning and teaching students according to their aptitude.The paper uses the hybrid of the particle swarm algorithm and K-means algorithm to improve the traditional network teaching system,carries on the cluster according to obtain users basic information and interest characteristic,fully reflects learned-centered and individualized teaching model.The experimental results indicate that the proposed algorithm has good global converg... |
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| Keywords: | distant teaching system constructivism particle swarm algorithm K-means clustering algorithm |
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