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

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。

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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，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。

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RESULTS: The fitting precision was compared by using mean relative error and grey absolute correlation degree as evaluation criterion.

结果：以平均相对偏差和灰色绝对关联度为评价标准进行拟合精度的比较。

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