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Transport Energy Demand Forecasting Using Neural Networks: Case Study Iran

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Volume 14, Issue 2 , September 2010, , Pages 203-220

Abstract
  In this paper, the energy demand of transport sector from 1386 to 1400 was forecasted using artificial neural networks (ANN) approach considering economic and social indicators. Feed forward supervised neural networks to forecast and back propagation algorithm to train networks were used. In order ...  Read More