Analysing Under Five Mortality in Vietnam Using the Multilayer Perceptron Neural Network

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIIndependent Researcher & Health Economist, Harare, Zimbabwe

Vol 6 No 7 (2022): Volume 6, Issue 7, July 2022 | Pages: 550-553

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 06-09-2022

doi Logo doi.org/10.47001/IRJIET/2022.607123

Abstract

This study uses annual time series data on under five mortality rate (U5MR) for Vietnam from 1964 to 2020 to predict future trends of U5MR over the period 2021 to 2030. Residuals and forecast evaluation criteria indicate that the applied ANN (12, 12, 1) model is stable in forecasting under five mortality. The multilayer perceptron neural network projections revealed thatU5MR will hover around 22 deaths per 1000 live births throughout the out of sample period. Therefore, health authorities in Vietnam must address all the challenges that hinder the successful implementation of SDG3 with the aim of improving child survival.

Keywords

ANN, Forecasting, U5MR


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Analysing Under Five Mortality in Vietnam Using the Multilayer Perceptron Neural Network” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 7, pp 550-553, July 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.607123

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