• By selecting sub-ensemble with smaller error, the root mean square error of forecast is reduced by over 10%.

    采用最集合子集预报方式时臭氧预报均方根误差比原确定性预报低了10%以上。

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  • The correlation coefficients (r) and root mean square error of prediction (RMSEP) were used as the model evaluation indices.

    预测预测相关系数(r),预测标准偏差(RMSEP)作为模型评价指标

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  • The results show that the root mean square error(RMSE) of the control points obtained by the workflow is lower than 0.5 pixels.

    结果表明,使用方法选取控制点均方根误差(RMSE)可以控制0.5个像素以内

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  • 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.

    结果显示模型预测效果明显优于传统线性自回归预测模型,各月平均的平均绝对误差MAE误差(RMSE)达到41.8和55.7。

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  • 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精度进行比较分析。

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  • In addition, with the use of the parameters such as entropy, average of image, root mean square error, peak signal-to-noise ratio, the performance of the fusion scheme is evaluated and analyzed.

    此外利用图像均值均方根误差峰值信噪参量融合方法融合性能进行评价与分析。

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  • The methods of the evaluation of image fusion, which includes: entropy, cross entropy, mutual information, mean square error, root mean square error, peak-to-peak signal-to-noise ratio were presented.

    介绍图像融合各种评价方法包括交叉熵、交互信息量、误差均方根误差、峰值噪比

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  • The results of the test data indicate that the prediction system is reliable and the root of mean square error is about 15%.

    测试数据预测结果表明预测系统能够可靠工作,预测结果均方根误差在15%左右。

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  • A novel electrocardiogram compression algorithm based on minimum root-mean-square error prediction utilizing the correlation of adjacent QRS wave is proposed.

    本文提出了一利用相邻QRS相关性进行最小方差预测心电图压缩算法

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  • The method "s performance is evaluated by using the entropy, cross-entropy, mutual information, error of mean square root and peak signal to noise ratio."

    采用、交叉信息、均方根误差峰值比等指标对方法进行了客观评价。

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  • 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.

    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%。

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  • Besides a comparison of the characteristic line, the normalized mean square root error, the normalized mean error, and the maximum deviation are calculated and discussed.

    除了单行数值比较法外,计算了重组数学模型之间的一化均方根偏差、归一化平均偏差和最大偏差

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  • We suggest "error of closure" asa criterion of measuring accuracy and use transient root-mean-square error to ex-press repeatability and reliability of measurement of the instrument.

    我们提出闭合误差概念,作为仪器测量精度判据测量仪器的瞬时方差表征测量的重复性可靠性

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  • It is verified that the measurement of the self-designed curvature sensor is correct, the error percent of peak-valley value (PV) is 10%, and the error percent of root mean square (RMS) is 2%.

    制备光栅型波曲率传感器测量结果正确,峰存在10%误差,均方根值存在2%的误差。

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  • The results of the test data indicate that the prediction system is reliable and the root of mean square error (RMSE) is about 15%.

    测试数据预测结果表明预测系统能够可靠工作,预测结果的均方根 误差在 15%左右。

    youdao

  • The results of the test data indicate that the prediction system is reliable and the root of mean square error (RMSE) is about 15%.

    测试数据预测结果表明预测系统能够可靠工作,预测结果的均方根 误差在 15%左右。

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