binary decision tree 中文意思是什麼
binary decision tree
解釋
二元判定樹-
The features of aircraft flight line maintenance expert system were analyzed in this dissertation. decision fault tree ( dft ) based binary decision diagram ( bdd ) was presented, which applied in the expert system in combination with case based reasoning ( cbr )
本文分析了飛機航線維護排故專家系統的特點，提出了基於二元決策圖的判定故障樹方法，並將該方法和基於事例推理的方法應用於專家系統的開發，給出了這兩種方法的集成診斷模型。 -
The method is better than others. firstly, the system sets up several models to assist detection work, such as road model, illumination model, shadow model and relationship model among them ; secondly, it introduces hue. saturation degree information to distinguish vehicles from shadow ; thirdly, it makes use of binary decision tree to analyze pressing line of vehicles to improve the reliability of the system ; fourthly, it puts forward a way of one dimension video tracing to resolve the problem of vehicle velocity detection
該方法通過設置在每條車道中的兩條相互垂直的虛擬檢測線來檢測交通流信息（如車流量、車速等） ；設計一種彩色分段檢測技術來提取運動車輛的尺寸信息和色彩信息，再利用分類決策樹和濾波演算法確定運動車輛存在與否，增強了車輛、陰影、噪聲和背景之間的區分能力；設計了一種車速視頻檢測方法。 -
Firstly, some basic algorithms for inducing decision tree are discussed, including id3, which uses information gain to select a splitting attribute when partitioning a training set ; c4. 5, which can deal with numeric attributes ; cart, which uses gini rule in attribute selection and induces a binary tree ; public, which puts tree pruning in the tree building phase ; interactive method, which puts artificial intelligence and human - computer interaction into the procedure of decision tree induction ; as well as sliq and sprint which are scalable and can be easily parallelized. advantages and disadvantages of these algorithms are also presented
文中詳細闡述了幾種極具代表性的決策樹演算法：包括使用信息熵原理分割樣本集的id3演算法；可以處理連續屬性和屬性值空缺樣本的c4 . 5演算法；依據gini系數尋找最佳分割並生成二叉決策樹的cart演算法；將樹剪枝融入到建樹過程中的public演算法；在決策樹生成過程中加入人工智慧和人為干預的基於人機交互的決策樹生成方法；以及突破主存容量限制，具有良好的伸縮性和并行性的sliq和sprint演算法。
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