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基于RBF和ARIMA模型的区域高等教育规模预测研究
引用本文:郑凤霞.基于RBF和ARIMA模型的区域高等教育规模预测研究[J].乐山师范学院学报,2013(12):6-9.
作者姓名:郑凤霞
作者单位:四川文理学院,达州635000
基金项目:四川文理学院校级科研项目(2012Z005Y,2012Z004Z)
摘    要:结合RBF网络模型和ARIMA模型预测的优点,构建基于RBF网络模型和ARIMA模型的混合模型,对四川省高等教育规模预测问题进行研究。采用构建ARIMA模型得出的预测值对RBF网络模型的预测值进行修正,提高了区域高等教育规模预测的精度。

关 键 词:区域高等教育规模  预测

A Study of Regional Higher Education Scale Forecasting Based on RBF Neural Network Model and ARIMA Model
ZHENG Fengxia.A Study of Regional Higher Education Scale Forecasting Based on RBF Neural Network Model and ARIMA Model[J].Journal of Leshan Teachers College,2013(12):6-9.
Authors:ZHENG Fengxia
Institution:ZHENG Fengxia (Department of Mathematics and Finance Economics, Sichuan University of Arts and Science, Dazhou Sichuan 635000, China)
Abstract:This paper studies the problem of Sichuan higher education scale forecasting, and establishes the hybrid model based on the advantages of RBF neural network model and ARIMA model. By revising the forecasting value of RBF neural network model through constructing ARIMA model, the efficiency of regional higher education scale forecasting is improved.
Keywords:RBF  ARIMA  RBF  ARIMA  Regional Higher Education Scale  Forecasting
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