Predicting business cycle turning points with neural networks in an information-poor economy
A feedforward neural network model is used to forecast turning points in the business cycle of postwar Lebanon. The NN has as inputs seven indicators of economic activity and as output the probability of a recession. The three-layered network is estimated using the back propagation algorithm. The NN...
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| Format: | conferenceObject |
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2007
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| Online Access: | http://hdl.handle.net/10725/6084 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://dl.acm.org/citation.cfm?id=1358008 |
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