Your English writing platform
Discover LudwigSuggestions(5)
Exact(24)
Whole family of LMS algorithm has been implemented for comparison.
The regular SS method and the autoregressive MED (ARMED) method are also implemented for comparison.
Finite element modeling is also implemented for comparison with the upper-bound and lower bound results.
A conventional exponential generalized autoregressive conditional heteroskedasticity (EGARCH) volatility model is also implemented for comparison purpose.
A related-samples design was implemented for comparison between the triangle and the other three methods.
Ant colony optimization and Tabu search are also implemented for comparison.
Similar(36)
ANOVA were implemented for comparisons with multiple groups.
The Kruskal−Wallis test was implemented for the comparison of three groups, and multiple comparisons were performed using one-way ANOVA and a least significant difference t test after the relative concentration was ranked.
A genetic algorithm based multi-objective task allocation strategy has been implemented for the comparison purpose.
Linguistic variables in this work implemented for pairwise comparison, determination weights and corresponding fuzzy numbers are listed in Table 1.
In order to show the effectiveness of the proposed method, several state-of-the-art algorithms [3 5, 22, 23] are implemented for the comparison.
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