Building up decision tree by improved PSO, the paper gives the example to validate that the improved algorithm is better than the original decision tree method and by improved by GA.
将改进的P SO引入到决策树建树方法中，并与传统的决策树方法及使用遗传算法改进后的树进行比较，验证了其优越性。
This paper mainly discusses how to build a decision tree of rail deformation detection by using C4.5 algorithm and how to make decision of the rail deformation by building decision tree.
文中主要讨论如何应用C4.5算法构造列车轨道故障检测的决策树以及根据生成的决策树实现轨道故障的判决。
The result is that the delay-Jitter-SPF algorithm and the flow graph of the building of the multicast tree with QoS constraints are proposed.
结果是提出了基于延迟和延迟抖动约束的SPF算法，并给出了完整的建立组播树的流程图。
And the algorithm improves the ending condition of building decision tree which don't stop constructing from using all of the attributes. So it has no influence on original data.
并且该算法改进了决策树创建叶节点的条件，从而决策树不会用尽所有的候选属性才停止构造，这就消除了没有原始数据造成的影响。
Existing decision tree building algorithm assumes that all topological relations occur with equal probability, but this situation is extremely rare in practice.
在第二类拓扑查询中，现有的决策树生成算法假定所有拓扑关系拥有相同的出现率，这种情况在实际中是非常少见的。
Existing decision tree building algorithm assumes that all topological relations occur with equal probability, but this situation is extremely rare in practice.
在第二类拓扑查询中，现有的决策树生成算法假定所有拓扑关系拥有相同的出现率，这种情况在实际中是非常少见的。
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