System identification of nonlinear autoregressive models in monitoring dengue infection

• Main Authors: Abdul Rahim, H., Ibrahim, F., Taib, M.N.
• Format: Article
• Language: English
• Published: 2010
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/9348/1/System_identification_of_nonlinear_autoregressive_models_in_monitoring_dengue_infection.pdf; http://eprints.um.edu.my/9348/; http://www.scopus.com/inward/record.url?eid=2-s2.0-79551508977&partnerID=40&md5=0491420521e068f90b645b6f6da2cc77 www-ist.massey.ac.nz/s2is/Issues/v3/n4/papers/paper13.pdf www.s2is.org/Issues/v3/n4/papers/paper13.pdf

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...