基于RBF和ARIMA模型的区域高等教育规模预测研究

A Study of Regional Higher Education Scale Forecasting Based on RBF Neural Network Model and ARIMA Model

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。

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.