DocumentCode
1650232
Title
Using Fuzzy Neural Network in Real Estate Prices Prediction
Author
Li, Zhang Xiao
Author_Institution
Chongqing Technol. & Business Univ., Chongqing
fYear
2007
Firstpage
399
Lastpage
402
Abstract
To forecast real estate prices more accurate, we combined fuzzy reasoning technique with neural network to construct a fuzzy neural network (FNN), which has ability in fuzzy reasoning and learning. In our research, we first use our relative real estate sample data to train the fuzzy neural network. Thereafter, we can use the exact test data to forecast real estate price. Compared with the traditional network, FNN obtained a much better result. Thus, we give a more accurate and effective method to forecast real estate prices.
Keywords
forecasting theory; fuzzy neural nets; fuzzy reasoning; pricing; property market; fuzzy learning; fuzzy neural network; fuzzy reasoning; real estate prices prediction; Computer science; Educational institutions; Electronic mail; Fuzzy control; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Neural networks; Testing; Fuzzy reasoning; Neural network; Prices prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2007. CCC 2007. Chinese
Conference_Location
Hunan
Print_ISBN
978-7-81124-055-9
Electronic_ISBN
978-7-900719-22-5
Type
conf
DOI
10.1109/CHICC.2006.4347291
Filename
4347291
Link To Document