Prediction of Chongqing's grain output based on support vector machine

Scientific prediction of agricultural food production plays an essential role in stabilizing supply. In order to improve the accuracy grain yield and reduce error Chongqing, this paper proposes a new method for Chongqing by using support vector machine (SVM). paper, based on regression structure, algorithm is designed, then adopted replacement back propagation process BP neural network. The results case analysis show that can effectively prediction.