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Analysis and Modeling Time Series of Water Flow into Mosul City A Comparative Study | ||
| IRAQI JOURNAL OF STATISTICAL SCIENCES | ||
| Article 1, Volume 10, Issue 2, 2010, Pages 1-32 PDF (0 K) | ||
| DOI: 10.33899/iqjoss.2010.028410 | ||
| Abstract | ||
| This paper presents fits for neural network model , and comparative resulting forecasts with those obtained from Box-Jenkins Method. We use time series data of Tigris's monthly flow into Mosul city from 1950-1995. To perform a comparative . forecasting work through the Box-Jenkins and neural network doesn't mean working with two different or competing aspect ; on the contrary choosing a proper architecture of neural net works requires using the skills of statistical modeling . As for application , Box-Jenkins Method has given more appropriate forecasts than those given by feed forward artificial neural network . We used Minitab and SPSS programs in the statistical aspect and Alyuda program in the neural network aspect. | ||
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