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，使用该方法选取的控制点均方根误差（RMSE）可以控制在0.5个像素以内。

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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%.

对测试数据的预测 结果表明，该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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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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