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

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 relation model 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 well and 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.