Abstract
With the continuous development of social economy, urban real estate has gradually become an important commodity for trading, and to some extent, it also affects the trend of the national economy. In view of these limitations and demand, this paper introduces ant group algorithm, by combining the influence of urban real estate changes on the national economic trend; according to the relevant national policy impact, we analyze the national economy changes and fluctuations, try to build a “four-quadrant” model analysis of real estate market impact analysis, and clear national policy on real estate. In order to obtain better economic policies, we promote the healthy and stable development of urban real estate. Simulation experiment proved that ant colony algorithm is effective and supports the change of urban real estate value and national economy.
Highlights
With the continuous development of social economy, urbanization is becoming more and more mature, promoting the transaction of urban real estate. erefore, as an important trading commodity, it will affect the trend of the national economy to some extent [1, 2]
Ant colony algorithm can divide the real estate market into the property market and the asset market, and use the corresponding real estate rent and the newly developed construction real estate to establish corresponding connections. e so-called first quadrant is that the property demand determines the corresponding level of real estate rent, the second quadrant represents the asset market, this part is to use the corresponding real estate for capital realization, and the third quadrant is to increase the corresponding amount of new development, to achieve a certain scale of growth. e fourth quadrant is the long-term
Image Segmentation Feature Extraction. e image segmentation algorithm was designed based on the ant colony algorithm [9,10,11]
Summary
With the continuous development of social economy, urbanization is becoming more and more mature, promoting the transaction of urban real estate. erefore, as an important trading commodity, it will affect the trend of the national economy to some extent [1, 2]. Due to its national conditions, it is more special and complex, rather than a single factor affecting the real estate market. How to effectively develop urban real estate which can truly develop healthy socialist market economy? Ese are all problems that need to be solved by industry experts, entrepreneurs, etc In view of these problems and demand, this paper introduces ant algorithm, by combining the socialist market economy development of real estate and using four quadrant for real estate market changes; according to the relevant national policy influence, we analyze the national economy changes and fluctuation and aim to explore the macroreal estate development and change, for the long-term equilibrium analysis of urban real estate market
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