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DOI Prefix: 10.47001/IRJIET

Predicting Future Trends of Total Fertility Rates in Fiji 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: 428-432

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-09-2021

doi Logo doi.org/10.47001/IRJIET/2021.508096

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Abstract

This study was carried out to predict total fertility rates (TFRs) for Fiji from 2019 to 2030 by employing the Artificial Neural Networks method using Fiji data on TRFs from 1960 to 2018 obtained from World Bank Online database. The results predict that the TRFs will be almost constant for Fiji from 2019 to 2030.

Keywords

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Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Predicting Future Trends of Total Fertility Rates in Fiji Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 428-432, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508096

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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