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DOI Prefix: 10.47001/IRJIET

Predicting Future Trends of Total Fertility Rates in Kyrgzystan 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: 276-280

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/2021.508060

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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.

Keywords

ANN, Forecasting, Total fertility rate (TFR).


Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Predicting Future Trends of Total Fertility Rates in Kyrgzystan Using Artificial Neural Networks” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 276-280, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508060

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
References
  1. Agadjanian, V., Dommaraju, p., & Nedoluzhko, L. (2013). Economic fortunes, ethnic divides and marriage and fertility in Central Asia: Kazakhstan and Kyrgyzstan compared, Journal of population research, 30(3), 197-211.
  2. Allman, J. (1979). Fertility, mortality, migration and family planning in Haiti, Population Studies, 33(3), 505-521.
  3. Anderson, J. E. et al. (1980). Determinants of fertility in Guatemala, Social Biology, 27(1), 20-35.
  4. Gani, A. (1999). An economic analysis of factors influencing fertility in the Pacific Island countries, International Journal of Social Economics, 26(1/2/3), 345-353.
  5. Gubhaju, B., Jongstra, E., & Raikoti, M. (2013). Below-replacement fertility of ethnic Indians in Fiji: a decomposition analysis of the components of changes in the total fertility, International Population Conference, Busan, South Korea.
  6. Kazenin, K., & Kozlov, V. (2020). What factors support the early age patterns of fertility in a developing country: the case of Kyrgyzstan, Vienna Yearbook of Population Research, (vol 18), 185-213.
  7. Nedoluzhko, L. (2012). Achieved Fertility and Fertility Intentions among Ethnic Groups in Central Asia: Kyrgyzstan, Tajikistan and Uzbekistan Compared, Stockholm Research Reports in Demography, 2012:4.
  8. Rowland, R. (2005). National and regional population trends in Tajikistan: Results from the recent census, Eurasian Geography and Economics, 46(3), 202-223.
  9. Spoorenberg, T. (2015). Explaining recent fertility increase in Central Asia, Asian Population Studies, 11(2), 115-133.
  10. Yurtseven, C. (2015). The socioeconomic determinants of fertility rates in Muslim countries: A dynamic panel data analysis, Economics and Sociology, 8(4), 165-178.

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