Residential Property Price Prediction with FNN Network Model

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In order to predict the new residential property market price, a Fuzzy Neural Network (FNN) prediction model was proposed. It was used to estimate the appropriate price level for a new property by learning from historical data on the correlations between various factors that influence the prices of properties and the actual selling prices. In particular, an artificial neural network prediction model was developed to compare it accuracy with the fuzzy neural network prediction model. The experimental results show that the fuzzy neural network prediction model has strong function approximation ability and is suitable for residential properties price prediction depending on the quality of the available data.

Info:

Periodical:

Advanced Materials Research (Volumes 271-273)

Edited by:

Junqiao Xiong

Pages:

1638-1643

DOI:

10.4028/www.scientific.net/AMR.271-273.1638

Citation:

Z. Xiaoli "Residential Property Price Prediction with FNN Network Model", Advanced Materials Research, Vols. 271-273, pp. 1638-1643, 2011

Online since:

July 2011

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$35.00

[1] Francisco N J, C. Javier: Forecasting Next - Day Electricity Prices by Time Series Models, IEEE Transactions on Power Systems, vol. 17, no. 2, pp.342-348, (2002).

DOI: 10.1109/tpwrs.2002.1007902

[2] Wen YU, Xiaoou LI: Fuzzy Neural Modeling Using Stable Learning Algorithm, Proceedings of the American Control Conference Denver, Colorado, pp.4542-4548, (2003).

DOI: 10.1109/acc.2003.1240557

[3] R.J. Kuo, K.C. Xue: Fuzzy neural networks with application to sales forecasting, Fuzzy Sets and Systems, vol. 108, no. 4, pp.123-143, (1999).

DOI: 10.1016/s0165-0114(97)00326-6

[4] C.T. Lin, C.S.G. Lee: Neural fuzzy systems: A neural-fuzzy synergism to intelligent systems, Prentice-Hall, Inc. U.S. A, (1996).

[5] W. L. Tung, C. Quek: GenSoFNN-A Generic Self-Organizing Fuzzy, IEEE Transactions on Neural Networks, vol. 13, no. 5, pp.1075-1086, (2002).

DOI: 10.1109/tnn.2002.1031940

[6] H. Li, L. Y. Shen, P. E. D. Love: ANN-Based mark-up estimation system with self-explanatory capacities, ASCE Journal of Construction Engineering and Management, vol. 125, no. 3, pp.185-189, (1999).

DOI: 10.1061/(asce)0733-9364(1999)125:3(185)

[7] H. Demuth, M. Baele: Neural Network Toolbox: For use with MATLAB. The Math Works Inc. U.S. A.

[8] N. Andreas, N. Detlef: A Neuro-Fuzzy Development Tool for Fuzzy Controllers under MATLAB/SIMULINK, Proc. of the 5th European Congress on Intelligent Techniques and Soft Computing, Aachen, pp.270-276, (1997).

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