Abstract:

Accurate prediction of agricultural product market prices for farmers' production decisions and government regulation is of great significance. Considering the complexity of vegetables price forecast, the prediction model of vegetables price was set up by applying the RBF neural network, using the 2003-2007 mushroom market price data. The model parameters were determined by using simulation experiment, and they were used to predict the 2008-2009 mushroom market prices for Beijing. Its prediction accuracy rating was compared with BP neural network model. The experimental results showed that the RBF neural network model was more accurate than BP neural network model.