房价预测是房地产投资决策和调节控制的重要依据之一。文章针对武汉市房地产市场商品房均价数据较少的特点,运用GM(1,1)模型和修正算法,以及灰色马尔科夫模型对均价进行建模计算预测,并对结果进行精度比较,结果表明模型的预测精度较高,在房价预测中有较强的科学性和可行性。 Prediction of real estate prices is one of the important basis for real estate investment decision-making and regulatory control. In this paper, according to the characteristics of less average price of real estate in the real estate market in Wuhan, GM (1,1) model and its modified algorithm, and gray Markov model are used to calculate and forecast the average price. The accuracy of the results is compared with that of the results It shows that the prediction accuracy of the model is higher and it is more scientific and feasible in predicting the price of housing.