Predicting Infant Mortality Rate in Botswana Using Artificial Neural Networks
Abstract
In this research article, the ANN approach was
applied to analyze infant mortality rate in Botswana. The employed data covers
the period 1960-2020 and the out-of-sample period ranges over the period
2021-2030. The residuals and forecast evaluation criteria (Error, MSE and MAE)
of the applied model indicate that the model is stable in forecasting infant
mortality rate in Botswana. The ANN (12, 12, 1) model predicts that infant mortality rate will continue to decline
in the country over the next 10 years. Therefore the government is encouraged
consider the 7-fold policy directions suggested in this endeavor.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
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