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DOI Prefix: 10.47001/IRJIET

Using Artificial Neural Networks for Predicting New Assault Cases in Gokwe North in Zimbabwe

Mr. Takudzwa. C. MaradzeIndependent Researcher, Harare, ZimbabweDr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweMr. Thabani NYONISAGIT Innovation Center, Harare, Zimbabwe

Vol 5 No 3 (2021): Volume 5, Issue 3, March 2021 | Pages: 492-497

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 04-04-2021

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Abstract
Assault against adolescents, men and women has become a public health threat as it is resulting in various infectious diseases being spread, unwanted pregnancies and abortions. This paper aims to predict the cases of assault at Gokwe North District Hospital using the ANN (12, 12, 1) model. Residual analysis of this model indicated that it was very stable and thus suitable for predicting assault cases at GNH over the out-of-sample period. In order to reduce these assault cases in future, the police and hospitals should basically make sure there are conducive platforms for the assessment and reporting of assault cases and victims and proper follow ups are done to get the perpetrators behind bars.
Keywords

hospitals should basically


Citation of this Article

Mr. Takudzwa. C. Maradze, Dr. Smartson. P. NYONI, Mr. Thabani NYONI, “Using Artificial Neural Networks for Predicting New Assault Cases in Gokwe North in Zimbabwe” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 3, pp 492-497, March 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.503083

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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