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

Prediction of Infant Mortality Rate in Rwanda Using the Multilayer Perceptron Neural Network

Abstract

In this research article, the ANN approach was applied to analyze infant mortality rate in Rwanda. The employed annual data covers the period 1960-2020 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 infant mortality rate in Rwanda. The ANN (12, 12, 1) model projections suggest that infant mortality will be around 23/1000 live births per annum over the next 10 years in Rwanda. The government is encouraged to intensify maternal and child health surveillance and control programs amongst other measures in order to curb infant mortality in Rwanda. This might be specifically executed by adopting the suggested 7-fold policy recommendations. 

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. SAGIT Innovation Centre, Harare, Zimbabwe

IRJIET, Volume 5, Issue 3, March 2021 pp. 581-586

doi.org/10.47001/IRJIET/2021.503099

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