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DOI Prefix: 10.47001/IRJIET

Projecting Future Total Fertility Rates in Solomon Islands 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: 416-419

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/2021.508093

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Abstract

This study was conducted to project future total fertility rates (TFRs) from 2019 to 2030 in Solomon Islands using Artificial Neural Networks using data on past TFRs from 1960 to 2018. Results obtained reveal that TFRs for Solomon Islands are expected to remain constant at around 4.4 throughout the out of sample period.

Keywords

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Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Projecting Future Total Fertility Rates in Solomon Islands Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 416-419, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508093
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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