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Research On ANN Model Of Real Estate Warning In Commercial Housing Prices

Posted on:2009-09-28Degree:MasterType:Thesis
Country:ChinaCandidate:M M GaoFull Text:PDF
GTID:2189360245952298Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
In recent years, the domestic industry was established as a new economic growth point and consumption hot spots, is developing rapidly. And to the attention of most people is their prices, especially in recent years throughout the country as rising house prices, real estate prices into the real estate market of any of the main hot spots are discussed. Therefore, how to use science to the price of this invisible baton to control the housing market, protection of urban housing market healthy, stable and orderly development, and promote the healthy operation of macroeconomic stability, has become a community concern.In this study the analysis of domestic and international economic early warning and the real estate market on the basis of research results, the main thesis of the present application of artificial neural network forecasting method general warning on house prices of goods. So the first papers on artificial neural network theory brief analysis, followed by this paper, the main target of ordinary commercial housing, its concept, content prices, features and price formation mechanism for detailed discussions on the basis of the analysis of the impact of commodity housing price factor And, through detailed feasibility studies of the factors select the appropriate indicators and related analysis of these indicators of screening, a general merchandise domestic factors affect the price index system. Then, on the basis of this choice of early warning indicators, the impact of the establishment of a reasonable price index system and its application of artificial neural networks to predict, by comparison with the market price of the commodity price fluctuations in residential real-time monitoring of early warning. Finally, to Xi'an as an example for ordinary residential commodity prices early warning of empirical research and conclusions based on domestic commodity prices in Xi'an early warning analysis, Xi'an is the result of ordinary commercial housing price level reasonable, rather than the level of socio-economic development And the level of house prices will continue to steadily rise, the short term there will be no major fluctuations.
Keywords/Search Tags:commercial housing prices, artificial neural network, influence factors, early warning of commercial housing prices
PDF Full Text Request
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