According to the results, the activation energy for migration of grain boundary Q was calculated. With the increase of the amount of re, the value of Q increases.
根据实验结果,对奥氏体晶界迁移激活能(Q)进行了计算,计算表明随稀土加入量增加,Q值亦增加。
Surface wave Q model with attenuation is used to inverse near surface Q value.
利用面波衰减的Q模型,反演出近地表的Q值。
To solve the problem of slow update speed in Q learning, a multi-step Q learning scheduling algorithm is proposed, in which the value function is updated based on the information in multiple steps.
针对任务调度的Q学习算法更新速度慢的问题,提出一种基于多步信息更新值函数的多步q学习调度算法。
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