Sentence examples for squares of error from inspiring English sources

The efficiency of our model to simulate these data points was evaluated using Sum of squares of error (SSE), Relative standard error (RSE), Mean absolute deviation (MAD) and Average relative error (ARE).

The coefficients of the polynomial (k_m) are determined by minimizing the least squares of error about ((x_s,y_s)) and ((x_{mathrm{{es}}},y_{mathrm{{es}}})) as: begin{aligned} {mathrm {min}}; sum left( (x_s-x_{mathrm{{es}}})^2+ y_s-y_{mathrm{{es}}})^2+ y_s-y_{mathrm{{es

ANOVA - Analysis of variance; MK-801 - Dizocilpine; MSE - Mean squares of error; NMDA - N-methyl-D-aspartate; RT - Reaction time.

Using the Box-Complex procedure, the sum of squares of errors between plant data and model prediction is minimised and the model tuned.

This optimization effort utilized Microsoft Excel's "solver" function and involved minimizing the sum of squares of errors between measured and estimated chloride concentrations.

Weights in an MLP architecture are determined by a back-propagation algorithm to minimize the sum of squares of errors using gradient-descent methods [ 13].

In this study, we used MSE (Mean Square Error) as the fitness function which measures average of the square of error.

The objective function is chosen as square of error between the actuated and desired shapes.

Sum square of error (SSE), Chi-square (Χ 2), and the normalized standard deviation (∆q e%), represented by Eqs.

The F value for each operating parameter is a ratio of the MS to the mean square of error.

Basically, LMS algorithm tries to minimize the energy (or mean square) of error signal, i.e., E[e2] [25].