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Feasibility of neural network metamodels for emulation and sensitivity analysis of radionuclide transport models

In this paper we compare the outputs of neural network metamodels with numerical solutions of differential equation models in modeling cesium-137 transportation in sand. Convolutional neural networks (CNNs) were trained with differential equation simulation results. Training sets of various sizes (f...

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Detalles Bibliográficos
Autores principales: Turunen, Jari, Lipping, Tarmo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147726/
https://www.ncbi.nlm.nih.gov/pubmed/37117401
http://dx.doi.org/10.1038/s41598-023-34089-9

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