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

Tracking Future Trends of Adolescent Fertility for Cabo Verde Using the Artificial Neural Network Approach

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: 153-156

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/2022.612028

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Abstract
This research paper employs annual time series data on adolescent fertility rate for Cabo Verde 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 decline throughout the out of sample period. Therefore, the government of Cabo Verde should implement strategies such as scaling up awareness campaigns among communities, promote girl child education, protect women’s rights and fund empowerment programs for youths.
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Citation of this Article

Smartson. P. NYONI, Thabani NYONI, “Tracking Future Trends of Adolescent Fertility for Cabo Verde Using the Artificial Neural Network Approach” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 12, pp 153-156, December 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.612028

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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