mean absolute error (mae)
mean absolute error (mae)
平均绝对误差
以上为机器翻译结果,长、整句建议使用 人工翻译 。
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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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