mean-root-square error

基本解释

After updating, root-mean-square error of modal frequencies is smaller than 2%.
修正后，模态频率误差的均方值小于2%。
A novel electrocardiogram compression algorithm based on minimum root-mean-square error prediction utilizing the correlation of adjacent QRS wave is proposed.
本文提出了一种利用相邻QRS波的相关性进行最小均方差预测的心电图压缩算法。
We suggest "error of closure" asa criterion of measuring accuracy and use transient root-mean-square error to ex-press repeatability and reliability of measurement of the instrument.
我们提出了闭合误差的概念，作为仪器测量精度的判据，测量仪器的瞬时均方差，以表征测量的重复性和可靠性。