神经网络理论在投入产出分析中的应用

Input output Analysis based on Neural Networks

把神经网络理论应用到投入产出分析中，由此建立起一种新的投入－产出模型，把这一模型中的某些变量理想化并进行变换后即可得到列昂节夫（Ｌｅｏｎｔｉｅｆ）模型。为此，本文把基于神经网络的新模型与列昂节夫模型进行了多方面的比较。

In this paper, the theory of neural networks is applied to input output analysis.Thereby a new model of input output is set up.By making some variables in the new model idealized and changed,it can be transformed into Leontief model.For this reason, a multiplex comparison between the well known Leontief model is made in this paper, and the Lyapunov functions of the new model system and the variation rules of their weights are discussed.