Abstract:

Based on grey systems, artificial neural networks, and time series, this paper devises a method of forecast combining two of the models which divide the forecast into two elements including factors and results by using regression. What is more, to improve the precision of the result, the method adopts different models for the factors and results prediction. The superior effect to each single method has been proved by the experimental result of predicting the recent price of pork in the province of Jilin. Furthermore, by analyzing different combinations, the method based on artificial neural networks and grey systems is of better accuracy than others.

Key words: combinational predicting model, price predicting, artificial neural network, grey system, time series