1) cluster tree inference
簇树推理
2) tree inference
树推理
1.
This paper, based on the simple tree inference structure, has developed therelationship between some of the formulas.
本文通过对概率逻辑推理树知识结构模型的研究，得出在树推理中对矩阵列消减起主要作用的相邻关系及其计算方法，给出了树推理模型的有效赋值列数的一般计算方法。
3) inference tree methods
推理树法
4) reasoning tree structure
推理树结构
1.
According to the course of the forward reasoning and extremely little frequency update for the knowledge-base of the expert system, a kind of new reasoning tree structure based on production rule is proposed, which adopts hierarchy and classification in rule storing and greatly accelerates the reasoning of the reasoning machine.
根据正向推理机推理的过程,以及专家系统知识库更新频率极小的特点,描述了一种新的基于产生式规则的推理树结构,这种树结构采用分层分类别的存储方法,大大提高了推理机推理效率。
5) goal-tree deduce
目标树推理
6) cluster tree
簇树
1.
The nodes with more e nergy will be selected as cluster head or relay node preferentially,finally,we can get a cluster tree,the SINK node is the boot.
针对无线传感器网络中传感器节点能量有限的特点,本文介绍了一种基于极大权的极小支配集的分簇组网算法,考虑到能量有效性,算法由SINK节点发起,泛洪网络中每个节点,优先选取剩余能量高的节点作为簇头节点与中继节点,最终得到以SINK节点为树根的簇树。
补充资料：演绎推理(见推理)
演绎推理(见推理)
deductive inference
住理。yanyl tullj演绎推理(deduetive infer。二ee)见
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