非线性神经网络模型及在粮食生产预测中的应用

Non-Linear Artificial Neural Network Model and its Application in Corn Production Prediction

本文利用非线性神经网络BP模型 ,对我国粮食生产进行了实证预测研究 .结果表明 ,用该网络建立的模型经过训练后 ,可得到影响粮食产出与各因子及其之间的非线性关系 ,网络模型新颖 ,具有较好的预测精度及较好的预测效果 ,可广泛应用于各种预测研究 。

Using method of non-linear artificial neural network BP model,taking prediction of total corn production in China as an example, this paper makes a corn production prediction in China. 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 generalize vale.