首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于Elman网络的房地产周期识别
引用本文:梁娜.基于Elman网络的房地产周期识别[J].咸宁学院学报,2008,28(3):8-11.
作者姓名:梁娜
作者单位:咸宁学院数学系,湖北咸宁,437100
摘    要:房地产市场的发展有着明显的周期性,对房地产周期的识别有助于政府及其他市场参与者进行科学的决策。本文先对1992—2003年的北京房地产市场周期发展各阶段进行编码,将编码结果作为训练的学习样本,再用ELman网络构建房地产周期识别模型。识别结果表明:2004年北京房地产市场处于收缩阶段,国家宏观政策对房地产市场的理性发展起到了积极的作用。

关 键 词:房地产周期  ELman  网络

Real Estate Cycle Diagnose Based on ELman Neural Network
LIANG Na.Real Estate Cycle Diagnose Based on ELman Neural Network[J].Journal of Xianning College,2008,28(3):8-11.
Authors:LIANG Na
Institution:LIANG Na ( Department of Mathematics, Xianning University, Xianning 437100, China )
Abstract: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.
Keywords:Real estate cycle  Cycle diagnose  ELman neural network
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号