Computerized model to forecast low-cost housing demand in urban area in Malaysia using Artificial Neural Networks (ANN)

The forecasted proportions of urban population to total population in Malaysia are steadily increasing from 26% in 1965 to 70% in 2020. Therefore, there is a need to fully appreciate the legacy of the urbanization of Malaysia by providing affordable housing. The main aim of this study is to focus on...

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Bibliographic Details

Main Author:	Noor Y.B. Zainun
Format:	Default Thesis
Published:	2011
Subjects:	Other built environment and design not elsewhere classified Low-cost housing demand Principal component analysis Artificial neural networks Built Environment and Design not elsewhere classified
Online Access:	https://hdl.handle.net/2134/9833
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