Journal of Jianghan University (Natural Science Edition) ›› 2020, Vol. 48 ›› Issue (2): 10-13.doi: 10.16389/j.cnki.cn42-1737/n.2020.02.002

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Research on Nanjing City House Price Forecast Based on GM（1，1）Model

LI Guangsheng，GUO Huan*   

  1. School of Mathematics and Computer Science，Jianghan University，Wuhan 430056，Hubei，China
  • Published:2020-04-22
  • Contact: GUO Huan

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Abstract: Taking data of average price of house price sample in Nanjing released by China Index Research Institute in Apr. 2018 to Sep. 2018 as the research object ，and using GM （1，1）model，to forecast and analyze the housing price of Nanjing in Oct. 2018 to Dec. 2018. The results showed that the GM（1，1） model′s fitting values and predicted values were close to the actual values，the relative error rate was low，and the prediction effect was better than that of BP neural network model. The research provides beneficial guidance for better development of real estate industry.

Key words: GM（1，1） model, BP neural network model, grey system, Nanjing City, house price forecast

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