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DOI Prefix: 10.47001/IRJIET

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

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONISAGIT Innovation Centre, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 581-586

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 05-04-2021

doi Logo doi.org/10.47001/IRJIET/2021.503099

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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. 
Keywords

ANN, Forecasting, Infant mortality.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Prediction of Infant Mortality Rate in Rwanda Using the Multilayer Perceptron Neural Network” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 581-586, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503099

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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