error sum of squares

error sum of squares的基本解释

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误差平方和

与error sum of squares相关的网络例句 [注：此内容来源于网络，仅供参考]

The basic principle of least-squares method is to choose the model parameters minimizing model error sum of squares, thus the name "least squares method."

最小二乘法的基本原理是选择模型参数极小化模型误差平方和，因此而得名"最小二乘法"。

The experimental results obtained from the model indicate good agreement with the full wave analysis; the analysis time is 138.465793 seconds and the error of the training sum of squares is 0.0374879, which satisfy the project request.

实验结果表明，该模型所得结果与全波分析相吻合，分析时间为138.465 793 s，训练平方和误差为0.037 487 9，满足工程要求。

The "0,1" linearization was conducted on the predictors and predictands,and the initial selection was based on the PRESS(Prediction Residual Error Sum of Squares) criterion.

预报系统投入业务应用，检验证明预报效果较好，提供了有效的地市级客观预报指导产品。

与error sum of squares相关的网络解释 [注：此内容来源于网络，仅供参考]

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

prediction residual error sum of squares：abbr. press; 计算预报残差平方和

predicted residual error sum of squares：abbr. press; 和预测残差平方和