Abstract: Aiming at the influencing variables and data from the year of 1978 to 2000 in China, this paper sets up muti-regression analysis model and BP artificial neural network model. Take prediction of total corn production as an example, two methods of corn production prediction based on multi-regression analysis and BP artificial neural network model are introduced in this paper. The results show that after being exercised,the network can provide nonlinear mapping relation between independent variables and dependent variable of corn production in China. The model is novelty, has higher precision and good effect.It can be widely applied in modeling of many forecast area,and also has high generalizing value.

Key words: muti-regression analysis, BP artificial neural network model, corn production, prediction, comparison, BP artificial neural network, muti-regression analysis, BP artificial neural network model, corn production, prediction, comparison