Using mixture density networks to emulate a stochastic within-host model of Francisella tularensis infection.
For stochastic models with large numbers of states, analytical techniques are often impractical, and simulations time-consuming and computationally demanding. This limitation can hinder the practical implementation of such models. In this study, we demonstrate how neural networks can be used to deve...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science (PLoS)
2023-12-01
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| Edice: | PLoS Computational Biology |
| On-line přístup: | https://doi.org/10.1371/journal.pcbi.1011266 |
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