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...
Saved in:
Main Authors: | Husin, Nor Azura, Salim, Naomie |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2008
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/8177/1/NaomieSalim2008_AComparativeStudyForBackPropagation.pdf http://eprints.utm.my/id/eprint/8177/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Back propagation neural network and non-linear regression models for dengue outbreak prediction
by: Husin, Nor Azura
Published: (2008) -
Modeling of dengue outbreak prediction in Malaysia: a comparison of neural network and nonlinear regression model
by: Husin, Nor Azura, et al.
Published: (2008) -
Simulation of Dengue Outbreak Prediction
by: Husin, Nor Azura, et al.
Published: (2006) -
A hybrid model using genetic algorithm and neural network for predicting dengue outbreak
by: Husin, Nor Azura, et al.
Published: (2012) -
Three-term back propagation neural network for moisture prediction
by: Abdulkadir, Said Jadid
Published: (2012)