Abstract:
The forecast of Singapore condominium prices is important for potential buyers to make informed decisions. This paper applies two algorithms to predict Singapore housing ...Show MoreMetadata
Abstract:
The forecast of Singapore condominium prices is important for potential buyers to make informed decisions. This paper applies two algorithms to predict Singapore housing market and to compares the predictive performance of artificial neural network (ANN) model, i.e., the multilayer perceptron, with autoregressive integrated moving average (ARIMA) model. The more superior model is used to predict the future condominium price index (CPI). The lower mean square error (MSE) of the ANN models showed the superiority of ANN over other predictive tools.
Published in: 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
Date of Conference: 13-15 August 2016
Date Added to IEEE Xplore: 24 October 2016
ISBN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- House Prices ,
- Housing Price Prediction ,
- Average Time ,
- Mean Square Error ,
- Artificial Neural Network ,
- Multilayer Perceptron ,
- Price Index ,
- Artificial Neural Network Model ,
- Autoregressive Integrated Moving Average ,
- Lower Mean Square Error ,
- Low Mean Square ,
- Dependent Variable ,
- Time Series ,
- Root Mean Square Error ,
- Central Region ,
- Multiple Regression Analysis ,
- Time Series Data ,
- Gross Domestic Product ,
- Input Variables ,
- Mean Absolute Error ,
- Mean Absolute Percentage Error ,
- Neurons In Layer ,
- Multiple Regression Analysis Model ,
- Private Housing ,
- Quarterly Basis ,
- Artificial Neural Network Structure ,
- Real Estate ,
- Cubic Spline Interpolation ,
- Close Agreement ,
- Output Variables
- Author Keywords
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- House Prices ,
- Housing Price Prediction ,
- Average Time ,
- Mean Square Error ,
- Artificial Neural Network ,
- Multilayer Perceptron ,
- Price Index ,
- Artificial Neural Network Model ,
- Autoregressive Integrated Moving Average ,
- Lower Mean Square Error ,
- Low Mean Square ,
- Dependent Variable ,
- Time Series ,
- Root Mean Square Error ,
- Central Region ,
- Multiple Regression Analysis ,
- Time Series Data ,
- Gross Domestic Product ,
- Input Variables ,
- Mean Absolute Error ,
- Mean Absolute Percentage Error ,
- Neurons In Layer ,
- Multiple Regression Analysis Model ,
- Private Housing ,
- Quarterly Basis ,
- Artificial Neural Network Structure ,
- Real Estate ,
- Cubic Spline Interpolation ,
- Close Agreement ,
- Output Variables
- Author Keywords
