Abstract: Accurate forecasting of vegetable daily price is difficult. In the present study， the daily price of green vegetables in market from December 13， 2010 to April 18， 2014 （total 799 samples） were collected， and a GRNN model was established to predict market price of green vegetables from April 7， 2014 to April 18， 2014. The results showed that the absolute value of average relative error was 312%， and the maximal absolute error was 024 yuan， which was small. Thus， the estimated model for daily price forecasting of market vegetables exhibited good generalization ability， and was an appropriate neural network model.

Key words:  market price；GRNN；price forecasting, vegetable