Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
The sweet spot for model updates will be in the late afternoon or early evening.
Similar(59)
Current methods for model updating often use discrete parameters, such as thickness or joint stiffness, for model updating.
The whole procedure for model updating can be run periodically without human intervention using appropriate scripts.
A probabilistic system identification technique is employed for model updating using incomplete noisy measurements only.
The positive detection cannot be used for model updating unless ( left|right|{beta}_{G_p}Big|{Big|}_1/Big|left|beta right|{Big|}_1>0.8 ).
The performances of the proposed ENS algorithm for model updating and model selection are examined through two numerical examples.
The present work deals with the determination of the newly discovered conditions necessary for model updating with the eigensensitivity approach.
Presented here is a pattern-based excitation diagnostic tool (EDT) that determines when sufficient process excitation exists for model updating.
The decisin maker uses the outputs from these VQNs to diagnose when sufficient dynamics exist for model updating.
A Bayesian probabilistic methodology for model updating is first implemented for the purpose of updating the structural model using dynamic data.
Nested sampling (NS) is a highly efficient and easily implemented sampling algorithm that has been successfully incorporated into Bayesian inference for model updating and model selection.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com