A comparative study for back propagation neural network and nonlinear regression models for predicting dengue outbreak
Malaysia has a good dengue surveillance system but there have been insufficient findings on suitable model to predict future dengue outbreak since conventional method is still being used. This study aims to design a Neural Network Model (NNM) and Nonlinear Regression Model (NLRM) using different arc...
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主要な著者: | Husin, Nor Azura, Salim, Naomie |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Penerbit UTM Press
2008
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主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/8177/1/NaomieSalim2008_AComparativeStudyForBackPropagation.pdf http://eprints.utm.my/id/eprint/8177/ |
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