| 1. | We would rather have several small absolute errors than one large one .
我们宁愿要几个小的绝对误差，而不要一个很大的误差。 |
| 2. | Absolute error of measurement
测量的绝对误差 |
| 3. | Gives a calculation formula of the absolute error of specific frictional head losses
给出了湍流区沿程阻力系数绝对误差的计算式。 |
| 4. | Combining absolute error function with relative error function , and setting it as the objective function of bp networks application to the flood forecast
综合绝对误差函数和相对误差函数于一体，提出一种适合于水文研究的bp神经网络综合目标函数。 |
| 5. | The most important criteria that used to check the calibrated model are root mean square error ( rms ) , the mean absolute error normalized rms error , and mass balance
模型参数使用试错法识别，识别过程中最重要的指标是均方差、平均绝对误差、标准均方差和水均衡。 |
| 6. | It has been proved in many examples that the bp algorithm based in the square sum of the relative error is better than the conventional bp method
通过大量算例检验证实，在基于相对误差平方和为检验标准前提下，利用所给算法求得的拟合值或预报结果优于传统的基于绝对误差平方和作为目标函数的bp算法所得结果。 |
| 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
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 。 |
| 8. | This aberration is referred to as a “ m ” by finite element method . rms of absolute error ( rmsa ) is obtained according to displacement , moreover , the relationship graph between rmsa and pressure offers gist for controlling surface precission
由位移计算出绝对误差的均方根误差( rmsa ) ,得到气压与rmsa为非线性的变化关系,其关系图为通过控制气压来调节反射面的精度提供了依据。 |
| 9. | Temperature predicting ann model for the next 24 hours is established . by this method , mean absolute error ( mae ) is reduced to 0 . 4512 ? from 0 . 6663 ? that is calculated by improved ashrae calculation method
建立了温度24小时提前预测的人工神经网络模型，使得24小时提前逐时温度预测平均绝对误差从改进ashrae计算方法的0 . 6663降低到了0 . 4512 ，平均相对误差从2 . 02降低到了1 . 36 。 |
| 10. | Mae of hourly load prediction reduced to 65 . 07kwh and eep reduced to 2 . 60 % . this kind of model has not been reported by literature . a cost - minimum model for ice storage system is established and numerical calculation is carried out
建立了空调逐时负荷的24小时提前预测多点输出动态模型，更进一步提高了负荷预测的精度，使得逐时负荷预测平均绝对误差降低到了65 . 07kwh ，期望相对误差降低到了2 . 60 。 |
