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A good balance between model accuracy and simplicity is very to provide meaningful results with minimal computational expenses.
It is found from this research that neurofuzzy models that use the Bayesian Information Criterion (BIC) are able to strike a balance between model accuracy, parsimony and transparency.
A particular care was taken to derive a POD ROM for the pressure and velocity fields with an appropriate balance between model accuracy and robustness.
Since one of the advantages of top-down tying method is flexibility in maintaining a balance between model accuracy and complexity, relevant adjustments are conducted, such as the stopping criterion of decision tree node splitting, during which optimal thresholds are captured.
In this section, we describe how to apply multi-objective evolutionary algorithms (MOEA) to extract fuzzy rule sets considering the balance between model accuracy and model interpretability.
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The results indicate that the new inlet model is capable of achieving a good balance between simulation accuracy and computational cost for the CFD simulation of large-scale bubble column reactors.
Influential factors are also introduced to balance the model accuracy and computing cost.
During the learning or training process the machine readjusts the hyperplane parameters to accommodate every training vector until it strikes an optimal balance between fitting accuracy and model simplicity.
We used testing balanced accuracy, a measure of model accuracy that avoids inflating performance estimates due to unbalanced data to measure the performance of each model.
The principle of increasing the order of modification model is to strike a reasonable balance between improving the accuracy and model simplification.
There needs to be a balance between the accuracy and detail of a model for its ease of application.
More suggestions(15)
balance between model performance
balance between model detailedness
balance between fitting accuracy
balance between model fit
balance between diagnostic accuracy
balance between alignment accuracy
balance between numerical accuracy
balance between predictive accuracy
balance between model parsimony
balance between model precision
balance between model setup
balance between alarming accuracy
balance between model refinement
balance between global accuracy
balance between model discrimination
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