基于人工神经网络的图书馆服务质量评价研究  

Research on library service quality evaluation based on artificial neural network

作　　者：罗佳佳[1] 邱丽红[2] LUO Jiajia QIU Lihong(Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China Ganzhou Library, Ganzhou 341000, China)

机构地区：[1]江西中医药大学,江西南昌330004 [2]赣州市图书馆,江西赣州341000

出　　处：《现代电子技术》2017年第1期86-87,91,共3页Modern Electronics Technique

摘　　要：以环境、馆藏资源、服务方式和硬件设备等9个影响图书馆服务质量的参数作为评价指标,采用BP神经网络的相关理论方法,以问卷调查结果作为分析数据的基础,对江西省内的20所图书馆的服务质量进行了评价研究。仿真结果表明,采用构建的神经网络可以快速而准确地对图书馆服务质量进行评价。Nine parameters such as environment, collection resource, service mode and hardware device affecting on the li-brary service quality are taken as the evaluation indicators. The correlation theory method of BP neural network is used to per-form the evaluation research for service quality of 20 libraries in Jiangxi Province, which is based on the analysis data of thequestionnaire survey result. The simulation resuhs show that the constructed neural network can quickly and accurately evaluatethe library service quality.

关 键 词：BP神经网络 服务质量评价 评价指标 问卷调查 

分 类 号：TN711[电子电信—电路与系统]