RBF神经网络在安徽省固定资产投资总额预测中的应用

Simulation and prediction of Anhui's fixed assets investment total based on RBF neural networks

利用先进的径向基函数(RBF)神经网络,对安徽省固定资产投资进行了实证预测研究.结果表明,利用RBF网络建立的固定资产投资预测模型经过训练后,可得到较精确的预测结果,并具有较强的适应性.

With the development of economic systems, how to describe their growth objectively and reasonably is becoming more and more important. This paper, intends to simulate the total value of the Anhui's fixed assets investment based on a new RBF(radial base function)neural network. The simulation shows that the results are reasonable.