The secondary model was based on the classical Square Root equation, which displayed a good linear relationship between the growth rate of Aspergillus versicolor and temperature.
二级模型采用经典的平方根模型拟合，发现杂色曲霉生长速率与温度呈较好的线性关系。
The root mean square relative error, mean absolute relative error and maximize absolute relative error of SVM model generalization performance are 1.06%, 0.96% and 1.16%, respectively.
对SVM多元非线性回归泛化性能进行测试，其均方根相对误差为1.06%，平均绝对相对误差为0.96%，最大绝对相对误差为1.16%。
The correlation coefficients (r) and root mean square error of prediction (RMSEP) were used as the model evaluation indices.
以预测集的预测相关系数(r)，预测标准偏差(RMSEP)作为模型评价指标。
A new method of the sea wave prediction is presented in this paper, which USES both the method of wavelet decomposition and the neural network model based on recursive square root.
提出采用小波分解与递推平方根法神经网络模型相结合的方法进行海浪预报。
Results show that the RBFNN is obviously superior to the traditional linear model, and its MAE (mean absolute error) and RMSE (root mean square error) are 41.8 and 55.7, respectively.
结果显示，该模型预测效果明显优于传统的线性自回归预测模型，各月平均的平均绝对误差（MAE）和均方误差（RMSE）达到41.8和55.7。
Coefficient determination, absolute bias, relative absolute bias, root mean square error and relative root mean square error were employed to evaluate the precision of different model systems.
采用确定系数、绝对误差、相对绝对误差、均方根误差、相对均方根误差等模型评价指标对不同模型系统的精度进行比较分析。
The initial camera parameters are computed using Root Mean Square and close-form algorithm on a distortion-free camera model.
在未考虑畸变的情况下通过最小二乘法求取相机的初始内外参数；
The initial camera parameters are computed using Root Mean Square and close-form algorithm on a distortion-free camera model.
在未考虑畸变的情况下通过最小二乘法求取相机的初始内外参数；
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