Application of Fuzzy Neural Network for Real Estate Prediction

  • Jian-Guo Liu
  • Xiao-Li Zhang
  • Wei-Ping Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)


A FNN prediction model based on hedonic price theory to estimate the appropriate price level for a new real estate is proposed. The model includes a database storing hedonic characteristics and coefficients affecting the real estate price level from recently sold projects that are representative in the local environment. The experimental result shows that the fuzzy neural network prediction model has strong function approximation ability and is suitable for real estate price prediction depending on the quality of the available data.


Real Estate Fuzzy Neural Network Real Estate Price Gaussian Membership Function Hedonic Price Model 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jian-Guo Liu
    • 1
  • Xiao-Li Zhang
    • 1
  • Wei-Ping Wu
    • 2
  1. 1.Department of Computer ScienceChongqing Technology and Business UniversityChongqingChina
  2. 2.Department of Foreign LanguagesChongqing Technology and Business UniversityChongqingChina

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