相对偏差 meaning in Chinese
relative deviation
relative divergence
Examples
- But as some conditions are confined the detecting rsd of the sensor is still not so good . so the sensor is not suit to quantitative analysis at present
但目前由于受一些条件所限，传感器测定的结果，相对偏差( rsd )仍较大，因此传感器目前仍不适用于定量分析。 - The detection efficiency was also obtained experimentally using radioactive source 60co . it was shown that the calculated values fitted the experimental data very well with the relative deviation less than 5 %
将mc模拟计算的探测效率与实验得到的探测效率进行了比较，两者相对偏差小于5 。 - Then , based on defining opposite deviation between each element of each s interval numbers decision matrix and corresponding elements of expert ' s interval numbers decision matrix , an analytic method to each s assessment level is given
通过定义专家给出的决策矩阵中各个元素与综合评价矩阵中对应元素之间的相对偏差，给出了基于区间数决策矩阵形式偏好信息的专家评判水平的分析方法。 - And it is commonly regarded as fault - free when the comparative deviation of component parameters are within 5 % of the nominal value , while in practical operations the allowance range could be set flexibly according to different requirements for the circuit performance
通常认为元件参数的相对偏差绝对值在标称值的5 %范围内为无故障,但实际上元件的容差是可以根据对电路性能的不同要求而灵活设定的。 - Compared with the classical bp algorithm , robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained . the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas
与基本bp算法相比，本文提出的鲁棒自适应bp算法具有以下优点： ( 1 )与鲁棒统计技术相结合，通过训练样本相对偏差的大小，确定不同训练样本对能量函数的贡献，来抑制含高噪声干扰样本对网络训练的不良影响，从而增强训练的鲁棒性，提高网络训练的收敛速度； ( 2 )采用相对偏差和绝对偏差两种偏差形式对权值进行调整，提高了网络的训练精度； ( 3 )在采用梯度下降算法对权值进行调整的基础上，通过将学习速率设为训练误差及误差梯度的特殊函数，使学习速率依赖于网络训练时误差瞬时的变化而自适应的改变，从而可以克服基本bp算法容易陷入局部极小区域的弊端，使训练过程能够很快的“跳出”局部极小区域而达到全局最优。