A nonparametric probabilistic method to enhance PGD solutions with data-driven approach, application to the automated tape placement process

Chady Ghnatios; Anais Barasinski

doi:10.1186/s40323-021-00205-5

A nonparametric probabilistic method to enhance PGD solutions with data-driven approach, application to the automated tape placement process

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	20
Journal	Advanced Modeling and Simulation in Engineering Sciences
Volume	8
Issue number	1
DOIs	https://doi.org/10.1186/s40323-021-00205-5
State	Published - Dec 2021
Externally published	Yes

ASJC Scopus Subject Areas

Modeling and Simulation
Engineering (miscellaneous)
Computer Science Applications
Applied Mathematics

Keywords

Automated tape placement
Machine learning
Model reduction
Nonparametric probabilistic method
Proper Generalized Decomposition
hybrid modeling

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10.1186/s40323-021-00205-5

Cite this

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keywords = "Automated tape placement, Machine learning, Model reduction, Nonparametric probabilistic method, Proper Generalized Decomposition, hybrid modeling",

author = "Chady Ghnatios and Anais Barasinski",

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year = "2021",

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doi = "10.1186/s40323-021-00205-5",

language = "English",

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T1 - A nonparametric probabilistic method to enhance PGD solutions with data-driven approach, application to the automated tape placement process

AU - Ghnatios, Chady

AU - Barasinski, Anais

PY - 2021/12

Y1 - 2021/12

KW - Automated tape placement

KW - Machine learning

KW - Model reduction

KW - Nonparametric probabilistic method

KW - Proper Generalized Decomposition

KW - hybrid modeling

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M3 - Article

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JO - Advanced Modeling and Simulation in Engineering Sciences

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ER -

A nonparametric probabilistic method to enhance PGD solutions with data-driven approach, application to the automated tape placement process

ASJC Scopus Subject Areas

Keywords

Access to Document

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