Development of dengue prediction model with neural network
The aim of this project is to develop a system that could predict the Dengue outbreak. This is done by using the prediction variables such as climate and past data. Two approaches will be used to develop the prediction models, which are Artificial Neural Network (ANN) and Generalized Additive Mod...
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| Format: | Final Year Project / Dissertation / Thesis |
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2022
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| Online Access: | http://eprints.utar.edu.my/4726/1/fyp_IA_2022_CJJ.pdf http://eprints.utar.edu.my/4726/ |
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my-utar-eprints.47262023-01-10T09:00:34Z Development of dengue prediction model with neural network Cheo, Jia Jun T Technology (General) The aim of this project is to develop a system that could predict the Dengue outbreak. This is done by using the prediction variables such as climate and past data. Two approaches will be used to develop the prediction models, which are Artificial Neural Network (ANN) and Generalized Additive Models (GAMs). Then, the prediction accuracy of the models will be compared. All methods can handle real life input to simulate the situation of the area where we want to predict outbreak of Dengue. It is believed that the accurate prediction of dengue outbreakcan reduce the dengue case and prevent the dengue outbreak in Malaysia. 2022-05 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4726/1/fyp_IA_2022_CJJ.pdf Cheo, Jia Jun (2022) Development of dengue prediction model with neural network. Final Year Project, UTAR. http://eprints.utar.edu.my/4726/ |
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Malaysia |
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Universiti Tunku Abdul Rahman |
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T Technology (General) |
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T Technology (General) Cheo, Jia Jun Development of dengue prediction model with neural network |
| description |
The aim of this project is to develop a system that could predict the Dengue
outbreak. This is done by using the prediction variables such as climate and past data.
Two approaches will be used to develop the prediction models, which are Artificial
Neural Network (ANN) and Generalized Additive Models (GAMs). Then, the prediction
accuracy of the models will be compared. All methods can handle real life input to
simulate the situation of the area where we want to predict outbreak of Dengue. It is
believed that the accurate prediction of dengue outbreakcan reduce the dengue case and
prevent the dengue outbreak in Malaysia. |
| format |
Final Year Project / Dissertation / Thesis |
| author |
Cheo, Jia Jun |
| author_facet |
Cheo, Jia Jun |
| author_sort |
Cheo, Jia Jun |
| title |
Development of dengue prediction model with neural network |
| title_short |
Development of dengue prediction model with neural network |
| title_full |
Development of dengue prediction model with neural network |
| title_fullStr |
Development of dengue prediction model with neural network |
| title_full_unstemmed |
Development of dengue prediction model with neural network |
| title_sort |
development of dengue prediction model with neural network |
| publishDate |
2022 |
| url |
http://eprints.utar.edu.my/4726/1/fyp_IA_2022_CJJ.pdf http://eprints.utar.edu.my/4726/ |
| _version_ |
1755876972598132736 |
| score |
13.160551 |