dc.contributor.authorChong, Wee Lee.en_US
dc.date.accessioned2008-09-18T07:41:09Z
dc.date.available2008-09-18T07:41:09Z
dc.date.copyright2002en_US
dc.date.issued2002
dc.identifier.urihttp://hdl.handle.net/10356/7180
dc.description.abstractThe aim of this paper is to apply established neural network architecture, the backpropagation neural network and the general regressive neural network, will be used in this study.en_US
dc.format.extent114 p.
dc.language.isoen
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Business::Finance::Monetary policy
dc.titlePredicting changes in federal funds target rate using artificial neural networks.en_US
dc.typeThesisen_US
dc.contributor.supervisorSrinivasan, Bobby Sundaravaradhan.en_US
dc.contributor.schoolCollege of Business (Nanyang Business School)en_US
dc.description.degreeMASTER OF BUSINESSen_US


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