Multilayer feedforward networks are universal approximators
Neural Networks
The nature of statistical learning theory
The nature of statistical learning theory
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Fuzzy and Neural Approaches in Engineering
Fuzzy and Neural Approaches in Engineering
Support Vector Machine for Regression and Applications to Financial Forecasting
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6 - Volume 6
Combinatorial time series forecasting based on clustering algorithms and neural networks
Neural Computing and Applications
Forecasting stock market movement direction with support vector machine
Computers and Operations Research
The prediction of Taiwan 10-year government bond yield
WSEAS TRANSACTIONS on SYSTEMS
WSEAS Transactions on Systems and Control
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The prediction of real estate price is important because it concerns both individuals and government. Other than traditional statistic methods, Neural networks and Support Vector Regression have demonstrated their advantages in previous research, and thus are applied and compared in this study. Variables are first summarized and concluded from earlier research and than selected by stepwise procedure and trial-and-error methods. It is found that SVR with trial-and-error method performed the best with MAPE=4.466% and R2=0.8540. In addition, Rediscount rate, Money supply, and Price of last month are the three common variables for both BPNN and SVR. The economic explanation and relations to the housing price for selected variables are also provided.