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。

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.

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对现场收集的数据进行仿真学习，结果表明，该预测模型收敛速度快，具有较高的预测精度，平均绝对误差可达到0.002 7%。

Some data were chosen to train the network model. The results show that the convergence rate was faster, the model had higher accuracy, the average absolute error can reach 0.002 7%.

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CT法测得的平均密度与煤油法测定值相比，平均绝对误差不到1 . 2 %。

Comparing mean density measured by CT with kerosene mass method, mean error is less 1.2%.

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顾名思义，平均绝对误差是绝对误差的平均值，其中fi是预测值而yi是实际值。

As the name suggests, the mean absolute error is an average of the absolute errors, where is the prediction and the true value.

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顾名思义，平均绝对误差是绝对误差的平均值，其中fi是预测值而yi是实际值。

As the name suggests, the mean absolute error is an average of the absolute errors, where is the prediction and the true value.

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