Suggestions(1)
Exact(1)
The numerical simulations show that especially the multiple candidate unit versions of the algorithms produce usually better results than the basic versions of the algorithms.
Similar(59)
The basic versions of the algorithms (which use only one randomly initialized candidate unit in the hidden unit training) were improved during the course of this research by adding a deterministic initialization method and the utilization of multiple candidate units in the training phase of the hidden units.
On the other hand, when we utilize multiple candidate units, we train a number of candidate units to the final solution, after which the best one of them is selected to be installed as a hidden unit in the active network.
Finally, for the multiple candidate technique is given by (12).
Taking the limit of single candidate target, we consider multiple candidate targets.
In addition, this approach provides designers with multiple candidate designs.
Sometimes, multiple candidate norms vie for dominance in a population.
However, we suggest using our PDF (multiple candidates) to obtain the theoretical error performance and also the statistical channel capacity for the multiple candidate system.
In this section, we describe the multiple candidate solution for reduction of PAPR. Figure 1 describes the multiple candidate system and our PDF notation for several variables.
(3) A unified workflow for the ranking of multiple candidate screening libraries based on multiple criteria is unavailable.
The cases with multiple candidate variables are solved by judgment.
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