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Real Estate Cycle Diagnose Based on ELman Neural Network

LIANG Na (Department of Mathematics,Xianning University,Xianning 437100,China)  
Real estate cycle were analyzed using time sequence analysis and neural network model to help market participants identify real estate cycle and make reasonable decisions.The time sequence analysis was used to distinguish the different development phases of the Beijing real estate market from 1992to 2003.A real estate cycle diagnose model was developed by the results and ELman neural network.This model shows that the Beijing real estate market in 2004 was in the shrinkage stage duo to government polices.
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