Input output Analysis based on Neural Networks

Jiang Zhaohua;Jiang Yanjun

Systems Engineering - Theory & Practice ›› 1997, Vol. 17 ›› Issue (7) : 104-107.

PDF(195 KB)
PDF(195 KB)
Systems Engineering - Theory & Practice ›› 1997, Vol. 17 ›› Issue (7) : 104-107. DOI: 10.12011/1000-6788(1997)7-104
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Input output Analysis based on Neural Networks

  • Jiang Zhaohua, Jiang Yanjun
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Abstract

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.

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input output analysis / Neural Networks Systems Engineering (NNSE

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Jiang Zhaohua , Jiang Yanjun . Input output Analysis based on Neural Networks. Systems Engineering - Theory & Practice, 1997, 17(7): 104-107 https://doi.org/10.12011/1000-6788(1997)7-104
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