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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42393/ http://umpir.ump.edu.my/id/eprint/42393/1/PSO-optimized%20CoVID-19%20MLP-NARX%20mortality%20prediction%20model.pdf http://umpir.ump.edu.my/id/eprint/42393/2/PSO-optimized%20CoVID-19%20MLP-NARX%20mortality%20prediction%20model_ABS.pdf |
| 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. |
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