Backpropagation neural networks for modeling gasoline consumption
This paper presents an artificial neural network (ANN) approach to gasoline consumption (GC) forecasting in Lebanon. In order to provide the forecasted gasoline consumption, the ANN interpolates among the GC and its determinants in a training data set. In this study, four ANN models are presented an...
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| Format: | article |
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2003
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| Online Access: | http://hdl.handle.net/10725/3158 http://dx.doi.org/10.1016/S0196-8904(02)00087-0 http://www.sciencedirect.com/science/article/pii/S0196890402000870 |
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