为了证明算法的有效性，采用决策树作为基分类器。
In order to prove the validity of the algorithm, it USES decision tree as the base learner.
采用决策树和混合像元分解模型进行建设用地信息提取。
In this paper, the information of construction land-use is extracted by the decision tree and mixed pixel decomposition model.
本文拟探讨采用决策树法在年薪制中的应用问题，并对具体操作过程进行了设定和说明。
This article will approach the practical problems of applying Decision Tree to the Annual Income System. Besides, it sets and illustrates a specific handling process.
系统采用决策树方法作为数据挖掘方法的基本算法，采用训练与学习相结合实现土地定级估价。
For land grading and evaluating, training and learning method is adopted and the integration of them implemented.
通过对决策树分类算法的比较，本文采用C4.5决策树算法实现自学习模块。
Comparing with Decision Tree algorithms, this system chooses the C4.5 to realize the self-learning module.
然后采用加权平均粗糙度的概念，作为选择分离属性的标准，构造电网故障决策树，从而实现对电网的故障诊断。
Then the decision tree of electric power grid diagnosis is built by using weighted mean roughness as separating attributes standard to realize electric power grid fault diagnosis.
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。
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.
大部分数据挖掘工具采用规则发现和决策树分类技术来发现数据模式和规则，其核心是归纳算法。
Most data mining tools use rule discovery and decision tree technology to extract data patterns and rules; its core is the inductive algorithm.
用于知识发现的大部分数据挖掘工具均采用规则发现和决策树分类技术来发现数据模式和规则。
Most data mining tools for knowledge discovery generally use rule discovery and decision tree technology to extract data patterns and rules.
采用一种层次分解的支持向量机二叉决策树进行分类识别。
A hierarchical decomposed support vector machines binary decision tree is used for classification.
并描述了从组织协作网到决策树的生成过程，对生成过程的求解采用了优化协作树算法。
The process of generating decision making tree from collaboration net is presented and the algorithms to optimize collaboration tree are adopted to construct the best decision making tree.
在结合数据融合和数据挖掘的医疗监护模型的建模方面，采用多层感知器网络和决策树方法建立报警决策器的模型。
For modeling of medical ward based on data fusion and data mining, multi - layer perceptron network and decision trees are used.
针对规则存储的特点采用基于决策树推理机制来实现推理机模块。
This inference machine is based on decision tree, because of rules saving characteristic.
在语法层面，本文采用C4.5决策树算法将问题分类为是非问句、正反问句、特选问句和特指问句四种类型；
In syntax level, we classify the question into four categories by C4.5 algorithm, such as yes-or-no interrogative, specially related interrogative, and so on.
决策树是对所考虑的决策以及采用这种或者那种其它现有方案可能产生的后果进行描述的一种图解方法。
The decision tree is taken into account in decision-making and the use of this or that other existing programs could have consequences for a graphic description of the method.
本文采用C4.5决策树算法构建空气质量评价系统，挖掘空气污染物和空气等级关系的历史数据，建立空气污染物-空气等级智能评价模型。
Intelligent evaluation model for air quality based on C4.5 decision tree algorithm is established through the historical data of air pollutants and air quality classes in this article.
最后，采用移动客户流失的真实数据，对过程决策树进行测试，展示了方法的可行性。
Finally, process decision tree was tested on mobile customer churn data, and the feasibility of the proposed method was demonstrated.
决策树是一种采用分治策略的聚类分析方法，构建决策树的关键是选择合适的属性。
One of the best ways to analyze a decision is to use so-called decision trees.
为解决该问题，本文采用了决策树增量学习法和神经网络完全学习相结合的方法。
In this paper, a new approach is set forth that integrating both decision tree incremental learning and neural network global learning. Through theory analysis, it's indicated th…
为解决该问题，本文采用了决策树增量学习法和神经网络完全学习相结合的方法。
In this paper, a new approach is set forth that integrating both decision tree incremental learning and neural network global learning. Through theory analysis, it's indicated th…
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