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DOI Prefix: 10.47001/IRJIET

Projection of Total Fertility Rates in Guatemala Using Artificial Neural Networks

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweTatenda. A. CHIHOHOIndependent Health Economist, ZimbabweThabani NYONISAGIT Innovation Center, Harare, Zimbabwe

Vol 5 No 8 (2021): Volume 5, Issue 8, August 2021 | Pages: 293-297

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 17-09-2021

doi Logo doi.org/10.47001/IRJIET/2021.508064

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Abstract
The aim of this study was to project total fertility rates (TFRs) in Guatemala from 2019 to 2030. Artificial Neural Networks were employed using Guatemala TFRs data from 1960 to 2018 obtained from the World Bank Online database. The results show that TFRs are expected to slightly decline from 2.9 in 2019 to 2.8 in 2030.
Keywords

ANN, Forecasting, Total fertility rate (TFR).


Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Projection of Total Fertility Rates in Guatemala Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 293-297, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508064

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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