Sentence examples for by calculating the error from inspiring English sources

The performance and accuracy of the method were shown by calculating the error norms L2 and L ∞.

The performance of ANN was evaluated while it was combined with the statistical technique by calculating the error between estimated and measured values of GSR.

The EVM is a baseband system-level metric that allows the quality of the system to be evaluated by calculating the error in the constellation diagram.

The ANN is trained to modify the weights by calculating the error of the ith neuron ((gamma _i)) throughout the hidden layer presented by (3) and (4).

By calculating the error band at the maximum and the minimum operating temperatures, as well as by determining the error compensation value from the error band based on the measurement moisture content, the final effective result was derived.

By calculating the error percentages due to the assumption of Gumbel tail, the estimation bias is indicated and the significances of both the shape parameter and the fluctuation level of extreme pressures are presented.

One is the 2-norm of the error between the original and the estimated field, i.e., E 2 F = g − g e s t _ k + 1 2, henceforth referred to as the field error, which is achieved by calculating the errors for all points (x,y) in the field, and then calculating the 2-norm of these point-wise error values.

The comparison was carried out visually, by superimposing the velocity graphs for the two simulations with different calculation grids and, analytically, by calculating the maximum error with the automatic algorithm written in Matlab.

Error bars in figures were obtained by calculating the standard error of the mean using the formula (s/√n; s = standard deviation, n = sample size).

This is realized by calculating the absolute error envelope values and their cumulative sum.

Nonlinear regression programs usually give the parameter uncertainty by calculating the standard error of the mean, and assuming linear relationship between variables in the vicinity of the estimated parameter values and normal distribution of parameter values.