PSO-Optimized CoVID-19 MLP-NARX Mortality Prediction Model

PSO-Optimized CoVID-19 MLP-NARX Mortality Prediction Model

Mortality prediction models localized for Malaysia is limited, warranting a research gap to study further. A predictive model for CoVID-19 mortality prediction is presented in this paper. The model utilized the MLP-NARX structure. Parameters for the model were optimized using PSO. Prediction results...

Full description

Bibliographic Details
Published in:IEACon 2021 - 2021 IEEE Industrial Electronics and Applications Conference
Main Author: Yassin I.M.; Zabidi A.; Ali M.S.A.M.; Baharom R.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124515858&doi=10.1109%2fIEACon51066.2021.9654684&partnerID=40&md5=314e6fd200c351feba040ca9433a5d07
Description
Summary:Mortality prediction models localized for Malaysia is limited, warranting a research gap to study further. A predictive model for CoVID-19 mortality prediction is presented in this paper. The model utilized the MLP-NARX structure. Parameters for the model were optimized using PSO. Prediction results yielded average MSE value of 8.1141× 10× {-7} with acceptable validation results. © 2021 IEEE.
ISSN:
DOI:10.1109/IEACon51066.2021.9654684

Similar Items