Artificial intelligence hybrid models for improving forecasting accuracy

Forecasting accuracy is necessary for advanced process planning and for fighting uncertainty in forecasting environment. Even if there are many methods for minimizing this uncertainty by using artificial intelligence AI but this problem, still be a crucial issue. The objective of this paper is to highlight AI hybrid models used for forecasting accuracy. Seventy articles are reviewed, classified and synthesized in order to provide recommendations and suggestions for future research.