平方和

effective error mean square

有效误差平方和

effective depth 有效水深 | effective error mean square 有效误差平方和 | effective error variance 有效误差平方和

error sum of squares

误差平方和

Error structure process 误差项结构程序 | Error sum of squares 误差平方和 | Error term 误差项

Estimated error sum of squares

估计误差平方和

Estimated error mean squares, 估计误差均方 | Estimated error sum of squares, 估计误差平方和 | Euclidean distance, 欧式距离

Estimated error sum of squares

估量误差平方和

Estimated error mean squares, 估量误差均方 | Estimated error sum of squares, 估量误差平方和 | Euclidean distance, 欧式距离

PRESS predictive residual error sum of squares

预报残差平方和

PMT photomultiplier tube 光电倍增管 | PRESS predictive residual error sum of squares 预报残差平方和 | RMSE root mean square error 均方根误差

SSE sum of squares error

残差平方和

FFNN feed forward neural network 前向式类神经网路 | LSM least square method 最小平方法 | SSE sum of squares error 残差平方和

effective error variance

有效误差平方和

effective error mean square 有效误差平方和 | effective error variance 有效误差平方和 | effective head 有效水头

residual sum of square

残差平方和

摘要: 目的 寻找适合于拟合各种人体测量指标的生长标准曲线的方法和途径.方法 采用损失函数(loss function)和残差平方和(residual sum of square) 对加权三次样条法(weighted cubic smoothing spline)和λ-中位数-变异系数法(λ-median-coefficient of variation,

sum of squares

离差平方和

Sum of products, 积和 | Sum of squares, 离差平方和 | Sum of squares about regression, 回归平方和

sum of squares

差值平方和

Sum of squared errors (SSE) 平方誤差總和 | Sum of squares 差值平方和 | Sum of squares total (SST) 總差值平方和;總變異

Greco-Latin square：希腊拉丁方格

Granduation of curve 曲线递合 | Greco-Latin square 希腊拉丁方格 | Grand lot 大批

cunningham：帆前角下拉索

斜拉器:kicking strap | 帆前角下拉索:cunningham | 调整索:outhaul