Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/10799
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dc.contributor.authorNa, Hui Miangen_US
dc.contributor.authorLee, Janice Lu Pengen_US
dc.date.accessioned2008-09-24T07:47:41Z
dc.date.available2008-09-24T07:47:41Z
dc.date.copyright1999en_US
dc.date.issued1999
dc.identifier.urihttp://hdl.handle.net/10356/10799
dc.description.abstractThis paper makes a comparison between the two forecasting methods on the condominiums in Singapore. One is the traditional method of economic modelling whereas the other is a new state of the art involving neural networks. This study attempts to develop both the neural network model and traditional econometric model for predicting the price of private residential property based on the transaction prices of condominiums for the past years as well as other qualitative and quantitative factors.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Social sciences::Economic theory
dc.titleForecasting the private residential property in Singapore: a comparative study between the traditional econometric model & neural network modelen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLi, Michael Zhi-Fengen_US
dc.contributor.schoolCollege of Business (Nanyang Business School)en_US
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Appears in Collections:NBS Student Reports (FYP/IA/PA/PI)
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