Numerical computing with Levenberg–Marquardt backpropagation networks for nonlinear SEIR Ebola virus epidemic model
In this study, a new computing technique is introduced to solve the susceptible-exposed-infected-and-recovery (SEIR) Ebola virus model represented with the system of ordinary differential equations through Levenberg–Marquardt backpropagation neural networks. The dynamics of the SEIR model are examin...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2021-09-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0056196 |