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农转城新市民信息素养与城市社会融合度的神经网络映射模型
引用本文:吴诗贤,张必兰.农转城新市民信息素养与城市社会融合度的神经网络映射模型[J].图书情报工作,2013,57(23):48-52.
作者姓名:吴诗贤  张必兰
作者单位:1. 重庆工商大学计算机科学与信息工程学院; 2. 重庆工商大学图书馆
基金项目:本文系国家社会科学基金项目“农转城新市民信息素养及促进模式研究”(项目编号:12XTQ004)研究成果之一。
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。

关 键 词:BP神经网络  非线性映射  农转城新市民  信息素养  城市社会融合度  
收稿时间:2013-10-23

Artificial Neural Network Model for Mapping Information Literacy to Urban Society Fusion Degree of New Urban Inhabitant
Wu Shixian,Zhang Bilan.Artificial Neural Network Model for Mapping Information Literacy to Urban Society Fusion Degree of New Urban Inhabitant[J].Library and Information Service,2013,57(23):48-52.
Authors:Wu Shixian  Zhang Bilan
Institution:1. Computer Science and Information Engineering College, Chongqing Technology and Business University, Chongqing 400067; 2. Lihrary of Chongqing Technology and Business University, Chongqing 400067
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.
Keywords:BP neural network  nonlinear mapping  new urban inhabitant from peasant  information literacy  urban society fusion degree  
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