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The efficiency of my way and method of neural networks to predict Cengnzfa Box with case studies in Iraq | ||
| Journal of Administration and Economics | ||
| Article 1, Volume 0, Issue 89, 2018, Pages 174-194 | ||
| Author | ||
| M. Nawal Aladdin Jarrah | ||
| Abstract | ||
| This paper attempts to make a comparison between the most famous classic method of forecasting ; Box-Jenkins method , and the famous expirt forecasting method; neural network method . The comparison is based on the forecast error that is evaluated for different types of time series data ; i.e. general and seasonal data . This study showed that the Neural method was very sutable for both data types with better results than box-jenkins method .hence different neural network models were fitted and the resulted forecast were compared with the results obtained from the (box-jenkins) seasonal and non-seasonal ARIMA models.the results showed superior performance of neural network technology; which makes it a valuable tool for decision making . | ||
| Keywords | ||
| Axis of a statistical | ||
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