International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Predicting Future Trends of Total Fertility Rates in Kyrgzystan Using Artificial Neural Networks

Abstract

The aim of this study was to predict future total fertility rates (TFRs) for Kyrgzystan from 2019 to 2030 using Artificial Neural Networks. Kyrgzystan TFRs from 1960 to 2018 obtained from World Bank Online database was used. Predicted results show that TFR will be almost constant at 3.1 by 2030 being 3.08 in 2019 and 3.13 in 2030.

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Tatenda. A. CHIHOHO3 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. Independent Health Economist, Zimbabwe
  3. SAGIT Innovation Center, Harare, Zimbabwe

IRJIET, Volume 5, Issue 8, August 2021 pp. 276-280

doi.org/10.47001/IRJIET/2021.508060

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