Abstract
For Real Estate industry which has many types of enterprises, how to carry on the effective clustering analysis has become a problem that needs to solve. This paper first theoretically elaborates the SOM network, and then pretreats the data with SOM network, which has the ability to deal with the high dimensional and complex data. Finally it uses the clustering function of SOM neural network to make clustering analysis and comparison of Real Estate companies which are listed in Shanghai and Shenzhen stock market. The clustering analysis results based on SOM are displayed in two-dimensional graphics, showing intuitively and comprehensively of the financial situation of each enterprise.
Highlights
In recent years, the Real Estate Enterprises in China is affected by domestic and international external environmental factors as an important mainstay of the market economy, such as changes in market, the economic environment, social and cultural environment and policy changes
This paper explores the self-organizing mapping network model which is in the application of the Real Estate enterprise financial analysis, and classifies the Real Estate companies’ financial condition according to clustering analysis by SOM model and the actual data
This paper uses financial indexes of Real Estate companies which are listing in Shanghai and Shenzhen stock market to research financial situation of them
Summary
The Real Estate Enterprises in China is affected by domestic and international external environmental factors as an important mainstay of the market economy, such as changes in market, the economic environment, social and cultural environment and policy changes. Business investment is still lacking in normative behaviors in China’s Real Estate Enterprises because of the late start of China’s Real Estate industry [3] They are facing with a series of financial risks with suffering from the changes of global economic environment and the impact of domestic macro-control policies and other factors. They don’t have a full analysis of the budget or in-depth investigation and study on the cost of land, financial operations, economic rate of return and other issues which the Real Estate development projects are facing They have declinational judgment on the priority of use of funds, and are lack of overall planning for the use of the entire project funds, causing blind operation on funds management. The clustering analysis forms richer classes of species and provides a feasible technical method of analysis and evaluation of financial situation which is comprehensive and structured [6]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: American Journal of Industrial and Business Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
