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The updating algorithm is based on the sensitivity approach in which the discrepancies between the analytical and experimental modal data are minimized in an iterative manner.
ANN models are trained by learning from known examples, and adjusting the weights between the neurons so that the errors between the ANN outputs and the known data are minimized.
Similar(58)
In the Rietveld method, the weighted sum of squares residual, S r, between the observed and the calculated intensities of powder diffraction data is minimized in a nonlinear least-squares method.
The annual volume difference between the observed and bias corrected data was minimized to zero.
Fluctuations of breath-by-breath data were minimized using a six-breath smoothing and consequent 30-s averaging.
The effect of such specimen variations on the deviations of data was minimized by using five samples for each variable in the weight fraction and composition ratio.
The time lag is overcome with the use of open source social media data where people 'report' their own health conditions yet the validity and credibility of the data is minimized.
Encoded data were minimized and compacted throughout the unit analysis process until the categories were identified.
In this way, bias caused by analyzing and interpreting data was minimized by comparing these independently obtained results.
In the Missouri LRI study, missing data were minimized, and we discovered very few inconsistencies or other data problems once analysis commenced.
In this way, the influence of parameters not-likely to fit the data is minimized while the dependence on a nominal point is avoided.
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