International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Forecasting Infant Mortality Rate in Cuba Using Artificial Neural Networks

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.

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. Department of Economics, University of Zimbabwe, Harare, Zimbabwe

IRJIET, Volume 5, Issue 3, March 2021 pp. 681-685

doi.org/10.47001/IRJIET/2021.503119

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