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Recognition of dengue disease patterns using artificial neural networks

This research aimed at the recognition of the patterns for dengue disease patterns using Artificial Neural Networks (ANN’s). Real data was provided by Singaporean National Environment Agency (NEA), for academic purposes only. Obtained data was used to model the behavior of dengue cases based on...

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Main Authors: Cetiner, Beytullah Gultekin, Sari, Murat, Aburas, Hani M.
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
QR Microbiology
Online Access:http://irep.iium.edu.my/13260/1/Recognition_of_dengue_disease_patterns_using_artificial_neural_networks.pdf
http://irep.iium.edu.my/13260/
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spelling my.iium.irep.132602011-12-27T04:07:49Z http://irep.iium.edu.my/13260/ Recognition of dengue disease patterns using artificial neural networks Cetiner, Beytullah Gultekin Sari, Murat Aburas, Hani M. QR Microbiology This research aimed at the recognition of the patterns for dengue disease patterns using Artificial Neural Networks (ANN’s). Real data was provided by Singaporean National Environment Agency (NEA), for academic purposes only. Obtained data was used to model the behavior of dengue cases based on the physical parameters of mean temperature, mean relative humidity and total rainfall. The set of data recorded weekly consists of dengue reported confirmed cases together with three aforementioned parameters and for a six-year period, January 2001 to April 2007. 2009 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/13260/1/Recognition_of_dengue_disease_patterns_using_artificial_neural_networks.pdf Cetiner, Beytullah Gultekin and Sari, Murat and Aburas, Hani M. (2009) Recognition of dengue disease patterns using artificial neural networks. In: 5th International Advanced Technologies Symposium (IATS'09), 13-15 May, 2009, Karabuk, Turkey.
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QR Microbiology
spellingShingle QR Microbiology
Cetiner, Beytullah Gultekin
Sari, Murat
Aburas, Hani M.
Recognition of dengue disease patterns using artificial neural networks
description This research aimed at the recognition of the patterns for dengue disease patterns using Artificial Neural Networks (ANN’s). Real data was provided by Singaporean National Environment Agency (NEA), for academic purposes only. Obtained data was used to model the behavior of dengue cases based on the physical parameters of mean temperature, mean relative humidity and total rainfall. The set of data recorded weekly consists of dengue reported confirmed cases together with three aforementioned parameters and for a six-year period, January 2001 to April 2007.
format Conference or Workshop Item
author Cetiner, Beytullah Gultekin
Sari, Murat
Aburas, Hani M.
author_facet Cetiner, Beytullah Gultekin
Sari, Murat
Aburas, Hani M.
author_sort Cetiner, Beytullah Gultekin
title Recognition of dengue disease patterns using artificial neural networks
title_short Recognition of dengue disease patterns using artificial neural networks
title_full Recognition of dengue disease patterns using artificial neural networks
title_fullStr Recognition of dengue disease patterns using artificial neural networks
title_full_unstemmed Recognition of dengue disease patterns using artificial neural networks
title_sort recognition of dengue disease patterns using artificial neural networks
publishDate 2009
url http://irep.iium.edu.my/13260/1/Recognition_of_dengue_disease_patterns_using_artificial_neural_networks.pdf
http://irep.iium.edu.my/13260/
_version_ 1643606733957890048
score 13.188404

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