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normalized mean-square error

См. также в других словарях:

  • Mean square quantization error — (MSQE) is a figure of merit for the process of analog to digital conversion. As the input is varied, the input s value is recorded when the digital output changes. For each digital output, the input s difference from ideal is normalized to the… …   Wikipedia

  • Root-mean-square deviation — For the application of root mean square deviation to bioinformatics, see Root mean square deviation (bioinformatics). The root mean square deviation (RMSD) or root mean square error (RMSE) is a frequently used measure of the differences between… …   Wikipedia

  • Root mean square deviation — The root mean square deviation (RMSD) ( also root mean square error (RMSE) ) is a frequently used measure of the differences between values predicted by a model or an estimator and the values actually observed from the thing being modeled or… …   Wikipedia

  • NMSE — normalized mean square error …   Medical dictionary

  • NMSE — • normalized mean square error …   Dictionary of medical acronyms & abbreviations

  • Weighted mean — The weighted mean is similar to an arithmetic mean (the most common type of average), where instead of each of the data points contributing equally to the final average, some data points contribute more than others. The notion of weighted mean… …   Wikipedia

  • приведённая среднеквадратичная ошибка — — [А.С.Гольдберг. Англо русский энергетический словарь. 2006 г.] Тематики энергетика в целом EN normalized mean square errorNMSE …   Справочник технического переводчика

  • NRMSE — normalized root mean square error …   Medical dictionary

  • NRMSE — • normalized root mean square error …   Dictionary of medical acronyms & abbreviations

  • Autocorrelation — is a mathematical tool for finding repeating patterns, such as the presence of a periodic signal which has been buried under noise, or identifying the missing fundamental frequency in a signal implied by its harmonic frequencies. It is used… …   Wikipedia

  • Total least squares — The bivariate (Deming regression) case of Total Least Squares. The red lines show the error in both x and y. This is different from the traditional least squares method which measures error parallel to the y axis. The case shown, with deviations… …   Wikipedia

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