Ai Feedback
Exact(5)
If a switching surface is selected which ensures exact tracking between the model trajectory and experimentally measured trajectory from a human subject, then the filtered discontinuous control signals from the simulation model provide estimates of the signals required to achieve the observed movement.
The test trial l is assigned to stimulus condition SCl that yields the lowest distance between its corresponding model trajectory and
Experimental data was then imported and fit to the data by automatically or manually adjusting model parameters to optimize matching between model trajectory and experimental data points [ 50].
Fitting to experimental data: Automatically or manually adjusting model parameters in normal or logarithmic space until the distance between model trajectory and experimental data points is minimized.
Therefore, varying wind direction with height is likely to result in a discrepancy between the model trajectory and the trajectory derived from LMA observation as pyroclasts falling out of the plume are carried in a different direction from the plume axis (see e.g. Taddeucci et al. 2011).
Similar(55)
The presence of internal climate variability, uncertainties in the external forcings as well as model errors limit temporal consistency between individual model trajectories and empirical reconstructions.
Panel A of Figure 4 shows the resulting model trajectories and the corresponding time course data.
This did yield optimal parameters p ⃗ for modeling e.g. the platelet effector experiments, minimizing the distance between model trajectories and time series data.
In contrast, a joint latent class mixed model uses all of the information from the quantitative cognitive score(s) and can model trajectories and co-occurring events, such as death, in multiple sub-populations.
Thus, when each model is subjected to a train of discrete inputs of a fixed total magnitude, it is possible that maximal firing is attained by a critical kick strategy of giving just enough input to push the model trajectory above this threshold and then giving the minimal kick after each spike that achieves threshold clearance again.
It accumulates point by point distances between the test trajectory and model trajectories (computed as averages for each stimulus) to estimate the stimulus inducing the most similar temporal structure to the test trial.
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