Forecasting low-cost housing demand in Pahang, Malaysia using artificial neural networks

Low cost housing is one of the government main agenda in fulfilling nation’s housing need. Thus, it is very crucial to forecast the housing demand because of economic implication to national interest. Neural Networks (ANN) is one of the tools that can predict the demand. This paper presents a work o...

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Bibliographic Details

Main Authors:	Noor Y.B. Zainun, Ismail A. Rahman, Mahroo Eftekhari
Format:	Default Article
Published:	2011
Subjects:	Other built environment and design not elsewhere classified Low-cost housing demand ANN Built Environment and Design not elsewhere classified
Online Access:	https://hdl.handle.net/2134/11455
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