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DOI Prefix: 10.47001/IRJIET

Early Identification of Abnormal Future Trends of Adolescent Fertility for Benin 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: 128-131

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/2022.612023

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Abstract
This research article uses annual time series data on adolescent fertility rate for Benin 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 is expected to increase and also remain high throughout the out of sample period. Therefore, we encourage the government of Benin to create more adolescent friendly facilities, strictly enforce laws to prevent child marriages and sexual abuse of women, and promote girl child education and fund empowerment programs for youths. 
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Citation of this Article

Smartson. P. NYONI, Thabani NYONI, “Early Identification of Abnormal Future Trends of Adolescent Fertility for Benin Using the Artificial Neural Network Approach” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 12, pp 128-131, December 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.612023

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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