System identification of nonlinear autoregressive models in monitoring dengue infection
This paper proposes system identification on application of nonlinear AR (NAR) based on Artificial Neural Network (ANN) for monitor of dengue infections. In building the model, three selection criteria, i.e. the final prediction error (FPE), Akaike's Information Criteria (AIC), and Lipschitz nu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/9348/1/System_identification_of_nonlinear_autoregressive_models_in_monitoring_dengue_infection.pdf |