基于BP神经网络的房地产价格估算研究  

Research on Real Estate Price Estimation Based on BP Neural Network

作　　者：李希尧 袁建林[1] 

机构地区：[1]辽宁工业大学管理学院,辽宁 锦州

出　　处：《可持续发展》2022年第6期1741-1750,共10页Sustainable Development

摘　　要：基于疫情背景下,对房地产价格进行估算,能够准确把握房地产发展的基本趋势,从而能够对房地产的风险性进行预警性研究。根据多元回归分析和BP神经网络的基本理论,建立房地产价格估算模型,完成房地产价格估算,两者对比,可发现BP神经网络在房地产价格估算中具有明显的优势,能够准确地估算房地产价格,从而有助于房地产业发展的判断,促进整体经济的不断提高。Based on the epidemic situation, estimating the real estate price can accurately grasp the basic trend of real estate development, so as to carry out early-warning research on the risk of real estate. According to the basic theory of multiple regression analysis and BP neural network, the real estate price estimation model is established and the real estate price estimation is completed. By compar-ing the two models, it can be found that BP neural network has obvious advantages in real estate price estimation and can accurately estimate the real estate price, thus helping to judge the development of the real estate industry and promoting the continuous improvement of the overall economy.

关 键 词：BP神经网络 房地产 多元回归 

分 类 号：F293.3[经济管理—国民经济]