大学生教育中知识资源整合策略仿真研究

A Study on the Strategy of integrating Knowledge Resources in College Students Education

对大学生教育中的知识资源整合策略的研究,能够更好的提升高校教育工作质量。对知识资源的整合,需要先将知识资源相对应的特征向量进行分解,将线性映射到低维特征空间,完成对知识资源的整合。传统方法建立学生知识资源反馈整合系统,构建识别矩阵,但由于识别矩阵排列混乱,导致资源整合精度偏低。提出基于shannon熵的大学生教育中知识资源整合策略。融合于信息熵理论计算大学生资源累计信息贡献率,确定提取大学生教育资源特征维度,通过提取知识资源主因子数量,将大学生教育知识资源相对应的特征向量进行分解,在此基础上利用Bhattacharyya距离准则理论将大学生知识资源样本线性映射到低维特征空间,促使其类别间的Bhat-tacharyya距离最大,完成大学生教育中知识资源整合策略。仿真证明,所提模型建模精确度高,可以为保障大学生的知识资源健康提供了科学的依据。

An integration strategy of knowledge resource in education of college student is proposed based on Shannon entropy. The contribution rate of resource accumulation information of college student integrated with infor- mation entropy is calculated, and the feature dimension of the education resource is confirmed. Then the feature vec- tor corresponding to the knowledge resource is decomposed via extracting quantity of principal factor of knowledge re- source. The sample of the knowledge resource is linearly mapped into feature space with low dimension by using Bhat- tacharyya distance criterion to prompt its Bhattacharyya distance among categories to be the maximum. Thus, the inte- gration strategy is completed. Simulation proves that the model has high precision and can provide scientific gist for ensuring health of knowledge resource of college student.