加权马尔可夫链在房价预测中的应用

The Application of Weighted Markov Chain on Forecasting in Real Estate Price

以南京市某楼盘房价预测作为实例,介绍了使用加权马尔可夫链的方法与步骤。根据房地产价格变化随机性的特点,运用系统聚类-离差平方和法确定了各时段房价的状态。结果表明:用加权马尔可夫模型预测的结果与实际房价相吻合,说明运用加权马尔可夫链模型对房价进行预测是可行的。

The method is applied to forecast the real estate price of some building in Nanjing. For the uncertainty of price change in real estate market, this article applies hierarchical clustering method-sum of squares of deviations to define the state of ted with the weighted Markov chain is the same real estate price in particular time. The data predic-as the real data. The results show that the use of weighted Markov chain model for the forecast of real estate price is feasible.