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Using machine learning as a surrogate model for agent-based simulations

In this proof-of-concept work, we evaluate the performance of multiple machine-learning methods as surrogate models for use in the analysis of agent-based models (ABMs). Analysing agent-based modelling outputs can be challenging, as the relationships between input parameters can be non-linear or eve...

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Detalles Bibliográficos
Autores principales: Angione, Claudio, Silverman, Eric, Yaneske, Elisabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830643/
https://www.ncbi.nlm.nih.gov/pubmed/35143521
http://dx.doi.org/10.1371/journal.pone.0263150