Your English writing platform
Discover LudwigSuggestions(1)
Exact(3)
Rules parameters are presented with standard XML syntax.
Then, it goes back to improve the structure again to find a better structure and re-fine tune the rules' parameters.
Starting with an initial structure, the system first tries to improve the structure and, then, as soon as an improved structure is found, it fine tunes its rules' parameters.
Similar(56)
For each generation of the MOGA, the probability rules parameter values are updated (improved) based on the objective functions.
Therefore, there are two separate sets of rule parameters.
The rule parameters were optimized by means of a neuro-fuzzy approach.
Here, new rule parameters are also prepared for use of the VM successor once it is successfully deployed.
Finally, the optimization rule parameters are updated for the new environment resource provision, which ends the optimization cycle.
Parameters are set to and to either (in Section 6.2) or, (see [30] for setting Exp rule parameters; typically gives good performance).
A simulation model is developed and linked with BOBYQA, an efficient optimization algorithm, to determine the optimal rule parameters in a stage-wise manner.
Considering the clustering distribution of the projection space, the optimal feature vectors are calculated by the means of the best updating rule parameters.
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