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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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2008
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| Online Access: | 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 http://psasir.upm.edu.my/id/eprint/69380/ |
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