Soft computing paradigms to find the numerical solutions of a nonlinear influenza disease model
The aim of this work is to present the numerical results of the influenza disease nonlinear system using the feed forward artificial neural networks (ANNs) along with the optimization of the combination of global and local search schemes. The genetic algorithm (GA) and active-set method (ASM), i.e.,...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Multidisciplinary Digital Publishing Institute
2021
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/32623/1/Soft%20computing%20paradigms%20to%20find%20the%20numerical%20solutions%20of%20a%20nonlinear%20influenza%20disease%20model.pdf https://eprints.ums.edu.my/id/eprint/32623/3/Soft%20computing%20paradigms%20to%20find%20the%20numerical%20solutions%20of%20a%20nonlinear%20influenza%20disease%20model%20_ABSTRACT.pdf |
Internet
https://eprints.ums.edu.my/id/eprint/32623/1/Soft%20computing%20paradigms%20to%20find%20the%20numerical%20solutions%20of%20a%20nonlinear%20influenza%20disease%20model.pdfhttps://eprints.ums.edu.my/id/eprint/32623/3/Soft%20computing%20paradigms%20to%20find%20the%20numerical%20solutions%20of%20a%20nonlinear%20influenza%20disease%20model%20_ABSTRACT.pdf