Gold Price Forecasting Model Based on Projection Pursuit and Neural Network
Chen Li · Jisuanji fangzhen · 2013
In order to improve the precision of gold price forecastint,this paper proposed a gold price combination forecasting model based on pursuit algorithm and neural network.Firstly,a projection pursuit algorithm was used to choose the influence factors,and then the selected impact factors were used as BP neural network input variables to learn and establish gold price forecast model,finally the forecast performance was tested by simulation experiments. The test results show that the combined model can well depict the gold price trend,simplify network structure,accelerate the network learning speed,and improve the prediction accuracy of gold price,which provides a new forecasting method for gold price.