摘要
为了提高图书馆借阅量预测精度,针对当前图书馆借阅量预测过程存在的一些问题,提出基于云计算技术的图书馆借阅量建模与预测方法。首先,对国内外图书馆借阅量预测研究现状进行分析,找到引起图书馆借阅量预测效果不理想的原因;然后,采用云计算技术搭建图书馆借阅量预测平台,并采用多个最小二乘支持向量机同时进行图书馆借阅量建模与预测;最后,与其他方法进行图书馆借阅量预测仿真测试对比实验。结果表明,所提方法不仅图书馆借阅量预测精度高,而且减少了图书馆借阅量预测时间,加快了图书馆借阅量预测速度,且实际应用价值更高。
In order to improve the prediction accuracy of book borrowing volume in library,a method of book borrowing volume modeling and prediction based on cloud computing technology is put forward in this paper to solve problems existing in the current prediction process of book borrowing volume in library.The research situation of current library′s book borrowing volume prediction at home and abroad is analyzed to find out the reasons that lead to the unsatisfactory effect of library′s book borrowing volume prediction.The cloud computing technology is adopted to build a book borrowing volume prediction platform.Several least squares support vector machines are used to perform book borrowing volume modeling and forecasting simultaneously.The simulation experiment for library′s book borrowing volume prediction of this method and that of other methods were conducted.The experiment results show that this method not only improves the prediction accuracy,but also reduces the prediction time of book borrowing volume in library,speeds up the prediction velocity of book borrowing volume,and has high practical application value.
作者
刘嫦娥
LIU Chang’e(Jiangxi Provincial Library,Nanchang 330046,China)
出处
《现代电子技术》
北大核心
2020年第1期111-113,118,共4页
Modern Electronics Technique
关键词
云计算技术
图书馆借阅量
建模方法
预测模型
云平台
预测精度
cloud computing technology
library′s book borrowing volume
modeling method
prediction model
cloud platform
prediction accuracy
