Abstract：Aiming at the difficulties in deciding the variables of BP artificial neural network, using method of grey relational analysis to decide the input variables, this paper puts forward a grey relational analysis BP artificial neural network model, and gives its construction method. Taking prediction of China's total corn production as an example, it introduces a method of modeling of corn production prediction based on BP model, grey relational analysis and BP artificial neural network model. 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, which has higher precision and good effect. It can be widely applied in modeling of many forecasting areas, and it also has high generalization value.
收稿日期: 2002-04-25
引用本文:
吴玉鸣,李建霞,徐建华. 中国粮食多因子灰色关联神经网络预测研究[J]. , 2002, 41(4): 0-0.
吴玉鸣,李建霞,徐建华. A grey relational analysis and artificial neural networks of corn production prediction in China. , 2002, 41(4): 0-0.
