Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics.

Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics.

Physics informed neural networks have been gaining popularity due to their unique ability to incorporate physics laws into data-driven models, ensuring that the predictions are not only consistent with empirical data but also align with domain-specific knowledge in the form of physics equations. The...

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Bibliographic Details
Main Authors: Dinh Viet Cuong, Branislava Lalić, Mina Petrić, Nguyen Thanh Binh, Mark Roantree
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0315762
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