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

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DOI Prefix: 10.47001/IRJIET

Detection of Future Trends of Adolescent Fertility for Cuba Using the Artificial Neural Network Technique

Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIIndependent Researcher & Health Economist, Harare, Zimbabwe

Vol 6 No 12 (2022): Volume 6, Issue 12, December 2022 | Pages: 202-205

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 16-03-2023

doi Logo doi.org/10.47001/IRJIET/2022.612038

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Abstract

This study uses annual time series data on adolescent fertility rate for Cuba from 1960 to 2020 to predict future trends of adolescent fertility rate over the period 2021 to 2030. The forecast evaluation criteria of the applied model indicate that the ANN (12, 12, 1) model is stable. The neural network model projections revealed that adolescent fertility will hover around 50 births per 1000 women aged 15-19 throughout the out of sample period. Therefore, we encourage the Cuban government to increase awareness campaigns among communities, create adolescent friendly healthcare facilities, fund youth empowerment programs and strictly enforce laws to protect women’s rights. 

Keywords

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Citation of this Article

Smartson. P. NYONI, Thabani NYONI, “Detection of Future Trends of Adolescent Fertility for Cuba Using the Artificial Neural Network Technique” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 12, pp 202-205, December 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.612038

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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