1) characteristics prediction
特性预测
1.
The results of characteristics prediction are analyzed and compared with the experimental results,and both of them .
为验证性能预测准确性,将W350液力变矩器基于三维流动数值解的性能计算结果与试验结果进行对比、分析,二者在数值上有良好的吻合,表明基于三维流场数值解的液力变矩器特性预测方法比传统的一维束流理论预测精确度更高,可以应用于工程实际。
2) protein characteristics prediction
蛋白特性预测
3) Prediction of aerodynamic characteristics
气动力特性预测
4) overall performance predicting
全工况特性预测
5) forecasting characters
预测特点
1.
Five sets of results for different L_9(3~4) orthogonal tests were used as the training-study samples, the forecasting characters of L_9(3~4) orthogonal test were researched on the basis of the artificial neural network.
用五组L9(34)正交实验结果作为训练学习样本集,通过人工神经网络对其预测特点进行了探讨。
6) feature prediction
特征预测
1.
We first explored the precise meaning of the Bayesian Rule,and then investigated whether feature predictions in uncertain circumstances of classification complied with the rule.
探讨了Bayesian规则计算公式的具体含义,进而考察了归类不确定情境下的特征预测是否符合Bayesian规则。
2.
Introduction Category use mainly includes category judgment and feature prediction.
运用预备实验评定过的鱼轮廓图,考察了类别判断和特征预测这两种类别使用方式下的特征诊断效应。
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条