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Parameter estimation with correlated outputs using fidelity maps
Sylvain Lacaze,
Samy Missoum
Aerospace and Mechanical Engineering
Applied Mathematics - GIDP
Research output
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Article
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peer-review
1
Scopus citations
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Dive into the research topics of 'Parameter estimation with correlated outputs using fidelity maps'. Together they form a unique fingerprint.
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Mathematics
Parameter Estimation
100%
Approximates
50%
Support Vector Machine
50%
Bayesian
50%
Correlation Structure
50%
Boundary Condition
50%
Adaptive Sampling
50%
Experimental Data
50%
Maximum Likelihood Estimation
50%
Sampling Scheme
50%
Natural Frequency
50%
Computational Cost
50%
Mode Shape
50%
Parameter Space
50%
Engineering
Parameter Estimation
100%
Support Vector Machine
50%
Boundary Condition
50%
Parameter Space
50%
Maximum Likelihood Estimation
50%
Computational Cost
50%
Simply Supported Plate
50%
Mode Shape
50%
Natural Mode
50%
Natural Frequency
50%
Keyphrases
Model Update
50%
Aleatory Uncertainty
50%
Statistical Estimators
50%
Chemical Engineering
Support Vector Machine
100%