With traditional probabilistic plan technology, the decision plan rules can be gotten only when the state transition function is already known.
在已知状态迁移条件下,利用传统概率规划技术能够获得确定的规划规则。
The different phenomena shown by the two systems come from different coupling function between Gd and Co, Mn and from spin state transition of Co.
两种体系呈现的不同现象,来源于Gd与Co、Mn不同的耦合作用和Co的自旋态的转变。
It implicate that the function of brain during transition differ from that in wake state and sleep state.
分离结果表明,醒睡转换之间,存在特殊的不同于清醒态时的脑信息加工状态。
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