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Artificial Neural Network Model for Mapping Information Literacy to Urban Society Fusion Degree of New Urban Inhabitant
Received date: 2013-10-23
Revised date: 2013-11-04
Online published: 2013-12-05
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.
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 . DOI: 10.7536/j.issn.0252-3116.2013.23.008
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