Your English writing platform
Discover LudwigExact(1)
It has diverse applications ranging from lead prediction to automated reaction mapping and visual alignment of similar compounds.
Similar(59)
Figure 2 Fixed-lead prediction errors.
Quadratic mean of the difference between the WL and SL fixed-lead prediction errors.
WL (solid line) and SL (dashed line) fixed-lead prediction errors.
Then, Algorithm 3.1 is used to obtain the WL fixed-lead prediction error p τ (tk+10|t k ) which is compared with the SL fixed-lead prediction error p ¯ τ ( t k + 10 | t k ) in Figure 2. As could be expected, this figure shows that the WL fixed-lead predictor presents a better behavior than the SL fixed-lead predictor.
with τ varying within the interval [1, 2): 1 100 ∑ k = 1 100 ( p ̃ τ ( t k + 10 | t k ) - p τ ( t k + 10 | t k ) ) 2 (24). with p τ (tk+10|t k ) and p ̃ τ ( t k + 10 | t k ) denoting the WL and SL fixed-lead prediction errors, respectively, for every value τ.
Experimental results will lead to prediction of effective diffusivity as a function of Reynolds number.
Such deficiencies ultimately lead to prediction models that are not or should not be used.
There is growing interest in the use of lead exposure prediction models and their evaluation before use in risk assessment.
Though the assumptions simplify the mathematical model and the computational analysis, such simplification might lead to prediction errors.
And like knowing someone's beliefs states, knowing another's perceptual state can lead to predictions about future behavior.
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