Research on new college Chinese teaching strategy based on SNS network platform and improved particle swarm optimization (Retracted article. See vol. 2022, 2022)

Research on new college Chinese teaching strategy based on SNS network platform and improved particle swarm optimization (Retracted article. See vol. 2022, 2022)
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DOI:
10.1186/s13638-019-1620-0
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发表时间:
2020-01-29
影响因子:
2.6
通讯作者:
Zhao, Jinwen
Zhao, Jinwen
中科院分区:
计算机科学4区
文献类型:
--
作者:
Bian, Xun;Zhang, Chaomin;Zhao, Jinwen

文献摘要

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随着网络技术的迅速发展,需要改革大学的教学,以适应网络环境。本文提出了一种基于SNS(社交网络服务)网络平台的大学汉语教学的新策略,构建了中国教学资源分配的模型,并使用SNS网络方法设计了大学中汉语教学网络教学平台。优化了SNS网络平台的路由节点,并使用改进的PSO(粒子群优化)来优化SNS网络平台节点的位置。基于PSO的节点分布模型,重建了新的SNS网络平台的节点覆盖连接图,以实现网络覆盖范围优化。实验结果表明,提出的SNS网络平台具有更好的资源调度和网络连接性能。
With the rapid development of network technology, college Chinese teaching needs to be reformed as so to adapt to the network environment. This paper puts forward a new strategy of college Chinese teaching based on SNS (social network services) network platform, constructs the model of college Chinese teaching resource allocation, and designs the college Chinese teaching network teaching platform using SNS network method. The routing nodes of SNS network platform are optimized, and the improved PSO (particle swarm optimization) is used to optimize the location of SNS network platform nodes. Based on the node distribution model of PSO, the node overlay connectivity graph of the new SNS network platform of college Chinese teaching is reconstructed to realize the network coverage optimization. The experimental results show that the proposed SNS network platform has better performance of resource scheduling and network connectivity.