Predicting Total Fertility Rates for Turkmenistan 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: 466-469

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/2021.508105

Abstract
This study predicted total fertility rates (TFRs) for Turkmenistan from 2019 to 2030 using Artificial Neural Networks employing data on TFRs for Turkmenistan from 1960 to 2018. The results of the projected TFRs oscillated, slightly increasing and decreasing, declining from 3.1 in 2019 to 3 in 2030.
Keywords

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Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Predicting Total Fertility Rates for Turkmenistan Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 466-469, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508105

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