This paper introduces an object oriented method of classification tree and function table for the designing of machine parts for developing mechanical CAD software system.
本文介绍了在机械CAD系统开发中，提出并建立的基于面向对象技术的机械零件设计分类树功能表设计法。
This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.
提出一种基于云理论和神经网络构造决策树的文本分类方法。
When analyze financial factor, decision tree method on the basis of inductive reasoning means is adopted to analyze the infection of financial factor to loan risk classification.
在财务因素分析上，采用基于归纳推理方法的决策树方法，分析了财务因素对贷款风险分类的影响。
PK searching method based on classification tree and illegibility matching are developed.
提出了基于分类树和模糊匹配的工艺知识资源检索方法。
In this paper, a new method which combines unsupervised and supervised learning strategy is put forward to construct the multi classification decision tree.
提出了一种融合无监督和监督两种学习策略生成多分类决策树的方法。
An approach for generating test cases from formal specification and the classification-tree method is presented.
介绍了一种基于形式规格说明和分类树方法生成软件测试用例的方法。
The results of experiment demonstrate that the SVM decision tree built up by this method has a good classification performance.
实验结果表明，这种方法构造的SVM决策树分类器分类性能较好。
Decision tree is an important method in induction learning as well as in data mining, which can be used to form classification and predictive model.
决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。
The decision tree is a frequently-used classification method in data mining, it is easy to understand and large in scope to apply.
决策树是数据挖掘技术中一种常用的分类方法，易于理解，应用范围广泛。
Absrtact: The decision tree is a usual method of classification in data mining.
摘要：决策树是数据挖掘任务中分类的常用方法。
This paper presents a new method of generating tree-team classification for producing symbol network functions.
本文提出一种求符号网络函数的分类生成树组方法。
The method of dynamic comparable tree classification was introduced to study the population structure of natural Japanese red pine forest in Northeast China.
本文采用动态可比性林木分级法，研究了东北东部天然赤松林的种群结构。
Using teacher images and machine learning method, an image direction classification model is built as a decision tree. Test results argued the validity of this method.
实验结果表明，系统所使用的轮廓线向量图像特征也能够较有效地应用于图像方向分类，而机器学习则能够有效地为之建立决策树分类模型。
In this paper, we present an ear recognition method using PIDC and binary tree SVM classification.
提出了一种基于PIDC和二叉决策树s VM的人耳识别方法。
The autuors present a decision tree based method for an easier and more accurate land-use classification using apparent reflectance values derived from ASTER images.
以黑龙江省北安市为研究区域，尝试利用ASTER视反射率值进行便利、准确的土地利用分类研究。
This D-S decision tree is a new classification method adapted to the uncertain data.
实验结果表明D- S决策树分类算法能有效的对不确定数据进行分类。
Based on review of the status of the study on forest fuel type classification, a classification method considering tree types was put forward.
在对森林可燃物类型划分的研究进行回顾的基础上，提出了考虑树种信息的分类方法。
This paper describes a method which has been used for stand population selection and classification based on the plus trees selection principle of a single tree.
本文将林木树种单株选优原则和方法运用到林木群体选择和划分上。
This D-S decision tree is a new classification method applied to uncertain data and shows good performance and can efficiently avoid combinatorial explosion.
实验结果表明，D - S证据理论决策树分类算法能有效地对不确定数据进行分类，有较好的分类准确度，并能有效避免组合爆炸。
Finally, a method based on sub-band feature extraction and Support Vector Machine with Binary Tree Architecture (SVM-BTA) is presented for power quality disturbances multi-classification.
最后，提出了一种基于子频带特征提取和二叉树结构支持向量机相结合的电能质量多分类方法。
Finally, a method based on sub-band feature extraction and Support Vector Machine with Binary Tree Architecture (SVM-BTA) is presented for power quality disturbances multi-classification.
最后，提出了一种基于子频带特征提取和二叉树结构支持向量机相结合的电能质量多分类方法。
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