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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| Format: | Thesis |
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2011
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| Online Access: | http://eprints.uthm.edu.my/4649/ http://eprints.uthm.edu.my/4649/1/noor_yasmin_zainun.pdf |