Wireless communication plays an important role in modern higher education. This paper first analyzes the storage mechanism and data structure of the hierarchical network model, then fits the time series of user behavior attribute data, and uses the information-filtering algorithm to filter the interference information and redundant information in the social network. The feature extraction of association rules applies fuzzy data clustering to the mining and clustering of relational data in hierarchical networks. The simulation results show that the algorithm model has high accuracy and reliability and improves the ability of deep mining in English teaching.

中文翻译：

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英语教学中分层网络模型和无线激活扩散优化模型的构建

无线通信在现代高等教育中起着重要作用。本文首先分析了分层网络模型的存储机制和数据结构，然后拟合了用户行为属性数据的时间序列，并使用信息过滤算法对社交网络中的干扰信息和冗余信息进行了过滤。关联规则的特征提取将模糊数据聚类应用于层次网络中关系数据的挖掘和聚类。仿真结果表明，该算法模型具有较高的准确性和可靠性，提高了英语教学中的深度挖掘能力。