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DOI Prefix: 10.47001/IRJIET

Forecasting Art Coverage in Malawi Using the Multilayer Perceptron Neural Network

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweThabani NYONIDepartment of Economics, University of Zimbabwe, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 222-226

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 31-03-2021

doi Logo doi.org/10.47001/IRJIET/2021.503037

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Abstract
In this study, the ANN approach was applied to analyze ART coverage in Malawi. The employed annual data covers the period 2000-2018 and the out-of-sample period ranges over the period 2019-2023. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model ANN (9, 12, 1) indicate that the model is stable in forecasting ART coverage in Malawi. The results of the study indicate that ART coverage is likely increase slightly over the period 2019-2023. The government is encouraged to create more demand for ART and HIV testing services, increase HIV testing capacity and strengthen tracking of loss to follow up ART patients amongst other measures
Keywords

ANN, ART coverage, Forecasting.


Citation of this Article

Dr. Smartson. P. NYONI, Thabani NYONI, “Forecasting Art Coverage in Malawi Using the Multilayer Perceptron Neural Network” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 222-226, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503037  

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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