Application of Machine Learning Techniques to an Agent-Based Model of Pantoea

Application of Machine Learning Techniques to an Agent-Based Model of Pantoea

Agent-based modeling (ABM) is a powerful simulation technique which describes a complex dynamic system based on its interacting constituent entities. While the flexibility of ABM enables broad application, the complexity of real-world models demands intensive computing resources and computational ti...

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Bibliographic Details
Main Authors: Serena H. Chen, Pablo Londoño-Larrea, Andrew Stephen McGough, Amber N. Bible, Chathika Gunaratne, Pablo A. Araujo-Granda, Jennifer L. Morrell-Falvey, Debsindhu Bhowmik, Miguel Fuentes-Cabrera
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Microbiology
Subjects:
agent-based model
machine learning
random forest regression
neural network
Pantoea
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2021.726409/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2021.726409/full

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