Volume 28 (2023)
Volume 27 (2022)
Volume 26 (2021)
Volume 25 (2020)
Volume 24 (2019)
Volume 23 (2018)
Volume 22 (2017)
Volume 21 (2016)
Volume 20 (2015)
Volume 19 (2014)
Volume 18 (2013)
Volume 17 (2012)
Volume 16 (2011)
Volume 15 (2010)
Volume 14 (2010)
Volume 13 (2009)
Volume 12 (2008)
Volume 11 (2008)
Volume 10 (2008)
Volume 9 (2007)
Volume 8 (2006)
Volume 7 (2005)
Volume 6 (2004)
Volume 5 (2003)
Volume 4 (2002)
Volume 3 (2001)
Volume 2 (2000)
Volume 1 (1995)
COMPARATIVE STUDY OF ARIMA AND ARTIFICIAL NEURAL NETWORK METHODS FOR IRAN ELECTRICITY FORECASTING

Ali Mohamad Ahmadi; Mahdi Zolfaghari; Aidin Ghafar Nejad Mehrabani

Volume 13, Issue 41 , February 2010, , Pages 107-121

Abstract
  Electricity demand is growing very fast in Iran and it is important to forecast its future demand and its monthly variation accurately. Artificial Neural Network (ANN) is a powerful tool for nonlinear models for forecasting and it was used to estimate monthly electricity demand in this study. In this ...  Read More

Forecasting Crude Oil Futures Prices

Saeed Moshiri; Faezeh Foroutan

Volume 6, Issue 21 , February 2005, , Pages 67-90

Abstract
  The movements in oil prices are complex and, therefore, seem to be unpredictable. The traditional linear structural models have not been promising when applied to forecasting, particularly in the case of complex series such as oil prices. Although linear and nonlinear time series models have done much ...  Read More

MODELING AND FORECASTING IRANIAN ECONOMIC GROWTH USING ARTIFICIAL NEURAL NETWORKS

Mohammad Reza Ghadimi; Saeed Moshiri

Volume 4, Issue 12 , October 2002, , Pages 97-125

Abstract
  Artificial neural networks(ANN) are flexible models used for data analyzing and Modeling non-linear relations.Most economic applications of the ANN models have been in financial markets. Only recently there have been same macroeconomic applications of ANN models. In this paper, we set up an ANN model ...  Read More