Modeling of dengue outbreak prediction in Malaysia: a comparison of neural network and nonlinear regression model

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Modeling of dengue outbreak prediction in Malaysia: a comparison of neural network and nonlinear regression model

Malaysia has a good dengue surveillance system but there have been insufficient findings on suitable model to predict future dengue outbreak. This study aims to design a neural network model (NNM) and nonlinear regression model (NLRM) using different architectures and parameters incorporating time s...

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Bibliographic Details
Main Authors:	Husin, Nor Azura, Salim, Naomie, Ahmad, Ab Rahman
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2008
Online Access:	http://psasir.upm.edu.my/id/eprint/69380/ http://psasir.upm.edu.my/id/eprint/69380/1/Modeling%20of%20dengue%20outbreak%20prediction%20in%20Malaysia%20a%20comparison%20of%20neural%20network%20and%20nonlinear%20regression%20model.pdf

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