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Study on the evaluation model of undergraduates?¢???? ideological and political status based on BP neural network

机译:大学生评价模型研究基于BP神经网络的思想政治状况

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Given the different defects of evaluation on undergraduates’ ideological and political status in terms of scientificity, objectivity and operability, fuzzy evaluation method and BP neural network were combined in this paper. Firstly, the evaluation index system and membership function were built according to the characteristics of the study object. Different variables were evaluated by means of dimensionless membership. Then undergraduates’ ideological and political status was evaluated by using the sound nonlinear evaluation ability of BP neural network. Empirical analysis shows that evaluating undergraduates’ ideological and political status by using BP neural network has good effect and high precision, thus providing a new way and basis for evaluating undergraduates’ ideological and political status.
机译:针对大学生思想政治状况评价的科学性,客观性和可操作性的不同缺陷,将模糊评价方法与BP神经网络相结合。首先,根据研究对象的特点建立了评价指标体系和隶属度函数。通过无量纲隶属度评估了不同的变量。然后利用BP神经网络的非线性评价能力对大学生的思想政治状况进行评价。实证分析表明,利用BP神经网络对大学生思想政治状况进行评价具有良好的效果和较高的准确性,为大学生思想政治状况的评价提供了新的途径和依据。

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