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Cybernetic Research Of Macroeconomic Consuming System In The City Of Shenyang

Posted on:2005-10-18Degree:MasterType:Thesis
Country:ChinaCandidate:X D ZhangFull Text:PDF
GTID:2156360122997709Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The economic cybernetics is the science that the methods of cybernetics are used in analysis of economic process. It is an extremely important branch of cybernetics. The main purpose of economic cybernetics is to make use of the methods of cybernetics to study the economic phenomena, research the organization and management of economic system, and study the problems of microeconomics and macroeconomics. Now almost all the methods and theories of cybernetics are applied in economic field, which make the economic cybernetics a substantial science.Establishing the model of economic system is one of the most important steps in economic cybernetics. It is to make use of the related knowledge to analysis model and predict after the model of system is established. This paper is based on the item "Establish Consuming Dynamic Model and Predict Adjusting Direction of Industrial Structure". The main mission of this paper is to establish the model of macroeconomic consuming system in Shenyang and predict the state variables and control variables.In the first part of this paper the principle and method of establishing GM(1,n) model with categorical variable is introduced in this paper. We establish the GM(1,4) grey predicting model with categorical variable of Shenyang ,compare it with the traditional GM(1,4) model and the GM(1,4) model with residual modification, and prove the effectiveness of this method. In the following part of this paper the method of linear regression is introduced and we use this method to establish the state variable models of macroeconomic consuming system in Shenyang. Last, we give a summary to this paper. It is still an investigative lesson that how to establish model with high accuracy.
Keywords/Search Tags:middle prediction, GM(1, n) grey prediction model, single-index moving method, residual modification, categorical variable
PDF Full Text Request
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