基于小波分析和RBF神经网络的铜价预测

Forecasting the price of cuprum based on wavelet analysis and RBF neural network

提出一种非线性时间序列预测方法,即把小波分析结合RBF神经网络预测方法对非线性时间序列进行预测。对铜价的预测结果表明,该方法比单纯的小波预测或单纯的RBF网络预测精度高,可以很好的应用于某些非线性时间序列的预测中。

A forecasting method of non - linear time series is proposed. That is combined wavelet analysis with RBF neural network to forecast some non - linear time series. The forecasting result of the price of cuprum shows that the method is better than the pure wavelet analysis forecasting approach or the pure RBF neural network forecasting approach, and can be applied to forecasting of some non - linear time series effectively.