Real estate cycle identification based on time sequence analysis and ANN
Hong Zhang · Journal of Tsinghua University(Science and Technology) · 2006
Real estate cycles were analyzed using time sequence analysis and artifical neural network model to help market participants identify real estate cycle scientifically and make reasonable decisions.The time sequence analysis was used to distinguish the different development phases of the Beijing real estate market from 1992 to 2003.A real estate market cycle identification model was developed by the distinguished results and an improved standard error back propagation artificial neural network.This model shows that the Beijing real estate market in 2004 was in the shrinkage stage due to government policies.