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A Study on Readers’ Satisfaction of University Library Based on BP Neural Network

机译:基于BP神经网络的大学图书馆读者满意度研究

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摘要

Construct evaluation system of readers’ satisfaction of university library from five areas: information resource, service content, staff, service means and environmental facility Based on the data obtained from the survey on library readers’ satisfaction, construct the relationmodel between the satisfaction to university library and the above five influential factors. The result shows that it is feasible to apply BP artificial neural network to the study on readers’ satisfaction of university library The model constructed reflects the actual situation welland it can be further extended to the study on the job satisfaction of employees in other industries, which is with a wide range of application prospect.
机译:从五个方面构建读者对大学图书馆的满意度:信息资源,服务内容,员工,服务方式和环境设施,基于从图书馆读者满意度的调查中获得的数据,构建对大学图书馆的满足之间的关系模型 和上述五个有影响力的因素。 结果表明,将BP人工神经网络应用于读者对大学图书馆的读者的研究是可行的,建造的模型反映了实际情况Welland,它可以进一步扩展到其他行业员工的工作满意度研究,这 具有广泛的应用前景。

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