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DOI Prefix: 10.47001/IRJIET

Forecasting Infant Mortality Rate in Cuba Using Artificial Neural Networks

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIDepartment of Economics, University of Zimbabwe, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 681-685

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 07-04-2021

doi Logo doi.org/10.47001/IRJIET/2021.503119

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Abstract
In this research paper, the ANN approach was applied to analyze infant mortality rate (IMR) in Cuba. The employed annual data covers the period 1963-2020 and the out-of-sample period ranges over the period 2021-2030. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting IMR in Cuba. The applied ANN (12, 12, 1) model predictions suggests that IMR in the country will remain under control at approximately 4/1000 live births per year in the next 10 years. The Cuban government is encouraged to continue on this commendable path.
Keywords

ANN, Forecasting, infant mortality rate.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Forecasting Infant Mortality Rate in Cuba Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 681-685, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503119

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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