Font Size: a A A

SVM-based Research On Housing Consumption Of Urban Residents In Hang Zhou

Posted on:2010-05-31Degree:MasterType:Thesis
Country:ChinaCandidate:Y MengFull Text:PDF
GTID:2189360278981454Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the further reform of housing policy in our country,the real estate market has developed rapidly and the consumption structures of urban residents have been changed greatly.The housing consumption expenditure are gaining an increasingly large proportion among the total expenditure and it encourages the economic increasing powerfully.Since 1998,the housing consumption market of HangZhou has entered a rapid-developing period.The rapid development of economy,the continuous increasement of resident income and the improvement of urban infrastructure impel the effective needs and trading volume of HangZhou housing market enlarge quickly.The rapid development of market is a test both to government and companies.As government,it must play full role of"isible hand",enhance the management of housing market and foster good environment to guide housing industry to develop heaalthily.As real estate company,forecasting the housing consumption trend of residents correctly to control the investment acceleration effectively,coordinate instruction dynamics of housing and avoid its structure surplus and local overheating is the premise of making profit in keen competition.So it is very important to analyze the housing consumption situation of residents and forcast their housing consumption expendture scientifically and reasonably.By using such methods as combination of qualitative and quantitative,combination of static and dynamic,combination of theory and practice analysis,the paper analyzes the present condition of the housing consumptions of the urban residents in Hang Zhou and finds the major influence factors of the housing consumptions of the urban residents in Hang Zhou are per capita disposable income,GDP and average price of housing through Grey interrelatedness.Then by comparing multiple linear regression model,BP neural network model and Support Vector Machine model,a best prediction model of housing consumption expenditure of the urban residents in Hang Zhou is found.That is Support Vector Machine.At last,the housing consumption expenditure of the urban residents in Hang Zhou from 2009 to 2010 has been forecasted by SVM to provide technical support for government to make macroeconomic regulation decision and for company to formulate development strategy to help promoting the healthy,stabilizing and sustainable development of real estate market in Hang Zhou.
Keywords/Search Tags:Urban residents, Housing consumption, Support Vector Machine
PDF Full Text Request
Related items