基于径向基函数(RBF)的安徽省GDP增长模拟与预测

Simulation and prediction of Anhui's economic Growth Index (GDP) based on RBF neural networks

本文运用新型非线性径向基函数RBF神经网络模型 ,对安徽省国内生产总值 (GDP)进行了宏观经济模拟预测分析 ,结果证明与其它经济计量方法相比较 ,网络模型新颖 ,具有较好的预测精度及效果 ,可广泛应用于各种预测研究 。

With the development of economic system, how to describe its growth objectively and reasonably becoming more and more important. In this paper, the author intend to simulate the Anhui's economic growth index(GDP) based on a new RBF(radial base function) neural network. The simulation results show that the results are reasonable.