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Mohamed Shareef, Ashraf, Jaafar Naser, Sarmad, M. Hashim, Ahmad. (1404). A comparison between the ARIMA model and neural networks average death in Iraq for the period (1980-2028). هنرهای کاربردی, (), -. doi: 10.22075/ijnaa.2023.29599.4202
Ashraf Mohamed Shareef; Sarmad Jaafar Naser; Ahmad M. Hashim. "A comparison between the ARIMA model and neural networks average death in Iraq for the period (1980-2028)". هنرهای کاربردی, , , 1404, -. doi: 10.22075/ijnaa.2023.29599.4202
Mohamed Shareef, Ashraf, Jaafar Naser, Sarmad, M. Hashim, Ahmad. (1404). 'A comparison between the ARIMA model and neural networks average death in Iraq for the period (1980-2028)', هنرهای کاربردی, (), pp. -. doi: 10.22075/ijnaa.2023.29599.4202
Mohamed Shareef, Ashraf, Jaafar Naser, Sarmad, M. Hashim, Ahmad. A comparison between the ARIMA model and neural networks average death in Iraq for the period (1980-2028). هنرهای کاربردی, 1404; (): -. doi: 10.22075/ijnaa.2023.29599.4202

A comparison between the ARIMA model and neural networks average death in Iraq for the period (1980-2028)

International Journal of Nonlinear Analysis and Applications
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 06 آذر 1404    اصل مقاله (641.57 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.29599.4202
نویسندگان
Ashraf Mohamed Shareef* 1؛ Sarmad Jaafar Naser1؛ Ahmad M. Hashim2
1Faculty of Nursing, National University of Science and Technology, Thi-Qar, Iraq
2Mazaya University College, Nasiriyah, Iraq
تاریخ دریافت: 23 دی 1401،  تاریخ پذیرش: 22 بهمن 1401 
چکیده
 In this research, the (Box-Jenkins) methodology and artificial neural networks in predicting theoretical and practical levels were identified and clarified by constructing time series models and artificial networks to predict the mortality rate of Iraq and the data represented by the mortality rate for the time period (1980-2028). It was obtained from the Central Statistical  Organization where the data were analyzed using time series according to the Box-Jenkins method and artificial neural networks using the program (Eviws.v9, SPSS, Zaitun.TS) and the most important conclusions and recommendations were reached, the most important of which proved the time series model using residues and values The ARMA model has its advantage over the neural network model for predicting Iraqi mortality. So we recommend using this form.
کلیدواژه‌ها
ARIMA model؛ neural networks؛ death in Iraq
مراجع

[1] K.K.S. Al-Satori and B.M.A. Al-Hiti, Using ARIMA models to predict the money supply for Qatar, Anbar Univ. J. Econ. Administrat. Sci. 35 (2010), 58–83.

[2] M. Hajji, International trade in technology, J. Econ. 5 (1975), no. 57.

[3] H.B.A.-A. Mazouzi and A. Al-Mu’tar, Prediction of the use of artificial neural networks, Doctoral diss. Ahmed Deraya-Adrar University, 2018.

[4] S.M.A. Mustafa, Using ARIMA models and artificial neural networks in predicting the Egyptian stock exchange index EGX30, J. Financ. Commercial Res. 18 (2017), no. 1, 392–416.

[5] S.A.-K. Tumo, Using time series download for predicting people with malignant diseases in Anbar governorate, Anbar Univ. J. Econ. Sci. (2012), no. 8.

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