Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
The optimal results of numerical examples showed that the developed design optimization method of inlay structures could significantly reduce the squared displacement error norm of an arbitrary designated evaluation point at an arbitrary specific frequency.
Similar(59)
MLKR aims at estimating the optimal linear subspace for reducing the squared error of a Gaussian kernel regressor.
The determination of optimal λ and ϴ are based in part on the knowledge of the deposit and are optimized, reducing the squared relative residuals to produce the best fit to the data (Bonadonna and Costa 2012; Daggitt et al. 2014).
The removal of the nutritional factors from the model would reduce the adjusted R squared value to 15.6%.
Our goal is to examine whether exploiting standardized residuals can reduce the mean square error.
Moreover, the increment of rotational speed will reduce the mean-square response of a rotating blade.
The first step is a gradient descent to reduce the least squares objective (|mathbf {y}-mathbf {Rx}|_{2}^{2}/2).
Simulation studies confirm the theoretical findings and show that the maximum likelihood technique can effectively reduce the mean-square error of our estimators.
Some simulation results, obtained for a transmission over a flat fading channel, also show that, compared to the conventional OFDM, these designs may reduce the mean square error.
FOS selects M most significant functions which greatly reduce the mean square error (MSE) through iteratively searching N available candidate basis functions.
The method uses kriging to compute an approximation of the probability of failure, and selects the next simulation to be conducted so as to reduce the mean square error of estimation.
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