仿真实验表明，基于领域加权平均绝对值误差准则最优层叠滤波器也能在细节保持和滤除噪声方面寻找到比较合适的折衷点。 关键词：层叠滤波器；
Simulated experiments show that optimal stack filters based on neighboring weighted mean absolute criterion can also reach a good tradeoff between noise suppressing and detail preservation.
结果表明：硬度预测值与实验值相对误差的绝对值的平均值为5.90%，附着力预测准确率为100%，耐冲击性预测准确率为100%。
The results show that the average absolute value of relative errors between predictive and measured values of hardness is 5.90%, the prediction accuracies of adhesion and impact resistance are 100%.
对标准差的模拟结果偏低，相对误差的绝对值小于6.6%；
Standard deviation were all unpredicted and the absolute relative errors were less than 6.6%.
分析表明：零件直径方向的尺寸差值的绝对值随着对刀高度误差的增大而增大；
Analysis shows that the absolute values of difference workpiece diameter will increase with the increases of tool setting error.
同时，还给出了百分误差绝对值最小为目标的组合预测模型及权系数求解方法。
At the same time, methods for solving CFM is given with the aim of minimizing sum of percentage error absolutes.
对于织机效率模型，预报误差绝对值的平均为2.05%，最大误差为5.12%，可知模型具有较高的预报精度，人工神经网络对此模型的预报可行有效。
The average value of absolute error is 2.05% and the biggest error is 5.12% in the model of loom efficiency. The results indicate that ANN model has high forecast precision.
通过实验得出了肩关节中心与肩峰位置之间的近似距离，实际测量误差的绝对值均小于2.7cm。
Distance between the acromion and the center of the shoulder was calculated by the data of this experimentation. The absolute value of error was smaller than 2.7 cm.
研究结果：（1）此模型预测结果的相对误差绝对值均值从PLS模型的3.92%，降低到了0.13%；
The results indicate:(1)the mean absolute value of relative error of the prediction results of this model has been reduced at 0.13% (the original is 3.92% in the PLS model);
仿真与实验结果表明：该模型预测和控制板形精度的平均误差绝对值均在5％之内，具有较好的效果，可应用于板形在线预测与控制。
The experimental results show that the absolute value of mean error of such prediction and control precision is within 5% , which gets good effect on sheet shape control. The BP network m…
束宽和远场发散角的相对误差随球差系数绝对值的增加和光束阶数的减小而增加；
The relative errors of the beam width and far-field divergence angle introduced by the spherical aberration increase with increasing spherical aberration coefficient and decreasing beam order.
中晚稻单产灾损率的预估误差的绝对值在0.02~3.77个百分点，平均误差为1.9个百分点，预估精度较高，灾损评估方法可行。
The absolute values of the prediction error of the middle-late rice were between 0.02% and 3.77%, the average error was 1.9%. The precision was high, so the damage assessment method was feasible.
中晚稻单产灾损率的预估误差的绝对值在0.02~3.77个百分点，平均误差为1.9个百分点，预估精度较高，灾损评估方法可行。
The absolute values of the prediction error of the middle-late rice were between 0.02% and 3.77%, the average error was 1.9%. The precision was high, so the damage assessment method was feasible.
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