而本 研究对于预测模型之实证分析所选取的评估指标有均方误差（Root Mean of Squared Error, RMSE ） 、 平 均绝对離差(Mean Absolute Difference, MAD)、 平均绝对百分比...
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The popular fidelity measurement method based on root mean squared error (RMSE) is unable to completely reflect the details of the sensitive information of compressed grayscale images.
常用的基于均方根误差(RMSE)图像保真度准则不能准确地放映一些灰度图像主要敏感细节。
The final result of the model was the addition of the two model's validation values, and the root mean squared error of prediction (RMSEP) was used to estimate the mixed model.
最终预测结果为两个模型预测值之和， 以模型的预测标准偏差（RMSEP）作为评价指标， 以便考察新方法的有效性。
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