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Through analyzing non-linear, time-varying characteristics of the economic system and summing up the basic idea of nonlinear economic model, BP neural network is used to do non-linear economic modeling methodology and specific implementation steps, by which new ideas is put forward for the existence of model, and implementation of the circumstances in Matlab is given.
In recent years real estate industry in China has been developing very fast. The present problem is how to get a stable system for this industry, so that it can be developed in a healthy way. Real estate economic system itself is a very complex system, so the interacting relationship between key factors in this system must be studied in order to grasp accurately and forecast its running rules. This...
This study is based on neural networks approach trained from the input and output data of economic system as samples. The analytical data used in this study is from Beijing statistical yearbook. After normalizing the data to meet the training requirement and using the method of neural network ensemble, the net which represents the inter-relationship between input and output items of the economic system...
The generalized approach to development of systems which is based on properties on golden section in dynamics which assists improvement of methodology of strategic forecasting not only in manufacturing and economic systems, but also in the development of the system approach in general, forming new laws, especially the law of harmonious development
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