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本文根据各个省份应对金融危机的经验数据,采用输入指标和输出指标体系,选取对金融危机有重要影响且省政府可以调节控制的输入指标,构建省级政府应对金融危机的神经网络模型。并通过动态调节模型的输入指标,来改变经济模型的输出结果,以提高省域经济建设应对金融危机的能力和水平。
Based on the empirical data of various provinces in response to the financial crisis, input indicators and output indicators are used to select input indicators that have an important impact on the financial crisis and the provincial government can regulate and control, and build a neural network model of the provincial government in response to the financial crisis. And by dynamically adjusting the input indicators of the model to change the output of the economic model in order to improve the ability and level of provincial economic construction to cope with the financial crisis.