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Artificial Neural Networks- A Review of Applications of Neural Networks in the Modeling of HIV Epidemic

by Wilbert Sibanda, Philip Pretorius
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 16
Year of Publication: 2012
Authors: Wilbert Sibanda, Philip Pretorius
10.5120/6344-7438

Wilbert Sibanda, Philip Pretorius . Artificial Neural Networks- A Review of Applications of Neural Networks in the Modeling of HIV Epidemic. International Journal of Computer Applications. 44, 16 ( April 2012), 1-4. DOI=10.5120/6344-7438

@article{ 10.5120/6344-7438,
author = { Wilbert Sibanda, Philip Pretorius },
title = { Artificial Neural Networks- A Review of Applications of Neural Networks in the Modeling of HIV Epidemic },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 16 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number16/6344-7438/ },
doi = { 10.5120/6344-7438 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:41.438634+05:30
%A Wilbert Sibanda
%A Philip Pretorius
%T Artificial Neural Networks- A Review of Applications of Neural Networks in the Modeling of HIV Epidemic
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 16
%P 1-4
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Neural networks have been applied successfully to a broad range of fields such as finance, data mining, medicine, engineering, geology, physics and biology. In finance, neural networks have been used for stock market prediction, credit rating, bankruptcy prediction and economic indicator forecasts. In medicine, neural networks have been used extensively in medical diagnosis, detection and evaluation of medical conditions and treatment cost estimation. Furthermore, neural networks have found application in data mining projects for the purposes of prediction, classification, knowledge discovery, response modeling and time series analysis. This review paper will present the application of neural networks to the study of HIV. HIV research falls into four broad areas namely, behavioral research, diagnostic research, vaccine research and biomedical research. Most of the research publications featured in this review paper emanate from the four broad HIV research areas and will be presented in three categories namely prediction, classification and function approximation.

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Index Terms

Computer Science
Information Sciences

Keywords

Multi-layer Perceptrons Neural Networks HIV/AIDS

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