A Surrogate Model Based on Artificial Neural Network for RF Radiation Modelling with High-Dimensional Data

This paper focuses on quantifying the uncertainty in the specific absorption rate values of the brain induced by the uncertain positions of the electroencephalography electrodes placed on the patient’s scalp. To avoid running a large number of simulations, an artificial neural network architecture f...

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Detalles Bibliográficos
Autores principales: Cheng, Xi, Henry, Clément, Andriulli, Francesco P., Person, Christian, Wiart, Joe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177606/
https://www.ncbi.nlm.nih.gov/pubmed/32283848
http://dx.doi.org/10.3390/ijerph17072586

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177606/
https://www.ncbi.nlm.nih.gov/pubmed/32283848
http://dx.doi.org/10.3390/ijerph17072586

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