Space-Time-Parameter PCA for Data-Driven Modeling with Application to Bioengineering

Principal component analysis is a recognized powerful and practical method in statistics and data science. It can also be used in modeling as a dimensionality reduction tool to achieve low-order models of complex multiphysics or engineering systems. Model-order reduction (MOR) methodologies today ar...

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Autores principales:	Vuyst, Florian De, Dupont, Claire, Salsac, Anne-Virginie
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2022
Materias:	Physical Sciences, Engineering and Technology
Acceso en línea:	https://www.intechopen.com/chapters/81407
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