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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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯: | |
|---|---|
| வடிவமà¯: | Thesis |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
2011
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://eprints.uthm.edu.my/4649/ http://eprints.uthm.edu.my/4649/1/noor_yasmin_zainun.pdf |
| கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•à®³à¯: |
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