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...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdul Rahim, H., Ibrahim, F., Taib, M.N.
Format: Article
Language:English
Published: 2010
Subjects:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items