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So as to minimize The sum of square errors (SQE).
err i 2 ¯ stands for the sum of square errors in a window around pixel i.
In general, the method minimizes the sum of square errors (see Fig. 2).
For these parameters, a residual sum of squares SSE (sum of square errors) is calculated according to (4).
Open image in new window Fig. 2 The sum of square errors within OLS method in two-dimensional space [14].
The suitability of the data modeling was analyzed through the statistical error functions, such as sum of square errors (SSE) and Chi square (χ2).
Similar(41)
Indeed, fitting the data in the masker density range between 0.001 and 0.1 with a line of slope 0.75 gives a sum-of square error of only 1/3 of that for the slope 1 fit.
For comparison purposes, MLPs have been trained to minimize the Sum-of-Squares error and the Minkowski error (R = 1).
The results obtained training with the Sum-of-Squares error show higher variability and are slightly worse.
During training, the final sum-of-squares error over the validation data for the network is calculated.
The addition of rolling horizon optimization gives significant reductions to the sum-of-squared-errors between the demand and supply profiles.
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