Real estate appraisal system based on GIS and BP neural network
For the inefficiency and inaccuracy of appraisal method of traditional estate appraisal theory, the real estate appraisal system based on GIS and BP neural network was established. The structure of the system was designed which includes appraisal model, trade case, GIS database and query analysis module. With the help of the L-M algorithm in MATLAB software, BP neural network was improved and the trade cases were trained, then the BP neural network which has already been trained was tested. At the same time, the BP neural and GIS were put together to construct the hedonic price estimate model. The C＃ and ArcGlS9.3 were used to achieve the system in VS2008. City basic geographic data and real estate related information were used as the basic data in practice. The results show that the functions of querying, adding and editing the spatial data and attribute data are achieved and also the efficiency and accuracy of real estate are improved, so that the new method of real estate is provided by the system.
BP neural network GIS hedonic price real estate appraisal
LIU Xiao-sheng DENG Zhe WANG Ting-Ii
School of Architecture and Survey Engineering, Jiangxi University of Science and Technology,Ganzhou School of Applied Science, Jiangxi University of Science and Technology, Ganzhou 341000, China
国际会议
河南焦作
英文
626-630
2011-06-18（万方平台首次上网日期，不代表论文的发表时间）