【摘要】 在构建农转城新市民信息素养和城市社会融合度评价指标体系的基础上,基于BP神经网络建立新市民信息素养各指标与其城市社会融合度指标之间的非线性映射模型,然后利用社会调查获得的样本数据训练该映射神经网络,由获得的网络连接权值矩阵和阈值矩阵来反映两者之间的内在联系。利用该网络可深入地分析新市民的信息素养与其城市社会融合的动力关系以及新市民快速融入城市社会的主要信息素养障碍。更多还原

【Abstract】 On the basis of building the assessment indicator system which consists information literacy and urban society fusion degree of new urban inhabitant from peasant,a nonlinear mapping model is constructed for various indicators of information literacy to indicators of urban society fusion degree based on BP neural network. Then it trains this neural network with social investigation data,and reflects the inherent relationship between information literacy and urban society fusion degree by connection weights and threshold values. This model can be used to analyze dynamic relation of information literacy and urban society fusion degree,and main information literacy obstacles of new urban inhabitant melting into urban society.更多还原