基于RBF神经网络的图书馆文献采购经费预测——以北京建筑工程学院图书馆为例

Forecast of Book Purchase Fund in Library Basing on RBF Neural Network: Case Study of Beijing University of Civil Engineering and Architecture Library

为解决图书馆文献采购经费预算这一问题,利用RBF神经网络,建立图书馆文献经费预测模型。结合北京建筑工程学院图书馆2000-2012年文献经费实际进行Matlab仿真,实验表明RBF神经网络模型能有效预测图书馆文献经费。

In onler to resolve the problem of library＇s book purchase fund budget, the paper uses RBF neural network to develop a forecast model, and conducts Matlab simulation with practical data of book purchase fund of Beijing University of Civil Engineering and Architecture Library in 2000-2012. The result shows that book purchase fund can be forecasted by RBF neural network model effectively.