Predicting Pressure Sensitivity to Luminophore Content and Paint Thickness of Pressure-Sensitive Paint Using Artificial Neural Network

An artificial neural network (ANN) was constructed and trained for predicting pressure sensitivity using an experimental dataset consisting of luminophore content and paint thickness as chemical and physical inputs. A data augmentation technique was used to increase the number of data points based o...

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Detalles Bibliográficos
Autores principales: Hasegawa, Mitsugu, Kurihara, Daiki, Egami, Yasuhiro, Sakaue, Hirotaka, Jemcov, Aleksandar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347181/
https://www.ncbi.nlm.nih.gov/pubmed/34372426
http://dx.doi.org/10.3390/s21155188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347181/
https://www.ncbi.nlm.nih.gov/pubmed/34372426
http://dx.doi.org/10.3390/s21155188

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