It is shown in this paper that the Least-Mean-Square algorithm cannot minimize the mean square error, and that it is actually a kind of weighted Least-Square algorithm.
本文指出最小均方算法并不能使均方误差最小，证明了最小均方算法实际上是一种加权最小二乘算法。
Opti-mal comfort is defined as a minimum root mean square value of a stationary Gaussian random process weighted with respect to human sensitivity.
乘坐舒适性的评价指标为乘坐质量沿铅垂方向的稳态高斯随机振动过程的加速度均方根值，并以人体的频率敏感性作为权因子。
Then the three models were compared in terms of weighted mean square errors (WMSE) .
结果显示三个模型都较好地模拟了腐蚀坑深度的增长过程。
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