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Based on the developed ANN model, global sensitivity analysis is conducted to provide information on parameters importance, which are significant in complex system safety analysis.
imp relative parameters importance, CI confidence interval (lower and upper), ω model weight.
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This type of experiment can help researchers, manufacturers, and retailers identify the most important product attributes and assign parameter importance values to them.
Response sensitivity is an important quantity in structural reliability calculations, parameter importance studies, and design optimization.
Table 5 Parameter importance rankings for the inter-story drift of RC frame.
Secondly a method is introduced which uses Sobol decomposition to derive a design parameter importance hierarchy.
The results show that for nitrogen reactive transport problem, parameter importance varies substantially among different models and scenarios.
After exploring parameter importance using symbolic regression, we evaluated a set of candidate models of differing complexity according to the number of season-specific parameters.
The sensitivity analysis for the parameter importance shows that the dominant influence on the predictions of UCS and Es is exerted by the variables of bottom ash dosage and energy absorption capacity.
jModeltest provides two additional evaluation criteria, i.e. dynamical likelihood ratio tests (dLRT) and a decision theory method (DT), as estimates of model selection uncertainty, parameter importance and model-averaged parameter estimates, including model-averaged phylogenies.
Ordering the parameters according to these criteria, preferably in decreasing order, results in a parameter importance ranking.
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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