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建立了一个用一串ＢＰ网络组成的、用于地区主要经济指标预测的人工神经网络系统，给出了该模型在两个地区应用中得出的不同结果；在分析这两种预测结果的基础上讨论了预测模型中输入输出指标变化对预测结果的影响．说明在神经网络预测模型中，输入输出指标的选择起着不可忽视的作用．
An artificial neural network system which is composed of a string of BP networks and is used to predict the main economic indicators in the region is established. Different results of the model are given in the application of the two regions. Based on the analysis of the results of these two predictions The impact of the change in input and output metrics on the prediction results is discussed. This shows that in the neural network prediction model, the choice of input and output indicators play a non-negligible role.