利用支持向量决策函数排序法(SVDFRM)，通过支持决策向量函数得到网络行为的特征贡献率并提取网络行为的重要特征。
A support vector decision function ranking method (SVDFRM) is used to calculate the contribution of network behaviors features, and then important network behaviors features are extracted.
这种学习可以使用神经网络或者支持向量机，不过用决策树也可以实现类似的功能。
This sort of learning could take place with neural networks or support vector machines, but another approach is to use decision trees.
为了提高歼击机故障诊断的准确性与实时性，提出一种基于决策树型组合策略的多重核学习支持向量机诊断方法。
Based on decision tree combined strategy and multiple kernel learning support vector machines, a new fault diagnosis method is proposed to improve the precision and speed of fighter fault diagnosis.
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.
所研究的支持向量机预测模型在陕西省公路资源整合项目的“综合分析决策支持系统”中得到了应用。
The support vector machine prediction model has been applied in "comprehensive analysis and decision support system" for road resource integration project of Shaanxi province.
同样，基于粗糙集理论对特征集进行约简，在最优决策属性的基础上使用最小二乘支持向量机分类器对流型进行识别。
Similarly, based on rough set theory to feature-set reduction, in the optimal decision based on the use of the property least squares support vector machine classifier to identify the flow pattern.
该结构优化问题的决策变量采用了向量表示方法，建立0-1整数非线性规划模型，给出了可行解存在性的判定方法。
Expressing decision variables of the structure optimization problem in the form of vector, a 0-1 integer nonlinear programming model is presented.
该文分析了广义最佳鉴别向量集，给出了基于用于线性特征抽取的广义最佳鉴别向量的分组决策方法。
This paper analyses the generalized optimal set of discriminant vectors, presents a grouped decision method based on generalized optimal set of discriminant vectors for linear feature extraction.
在空战威胁估计中，把一架战机的态势量化为一个向量，每一个决策因素为一个分量。
The air combat situation of fighter can be formulated as a vector, an element of which is a decision factor.
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。
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.
给出带有模糊决策的模糊机会约束规划模型，在此基础上，研究模糊线性支持向量分类机(算法)和模糊线性支持向量回归机(算法)。
Proposed the model of fuzzy chance constrained programming with fuzzy decision, and did some research on fuzzy linear support vector regression (algorithm) on this base.
文章提出了决策表的区分向量的概念，并给出了利用区分向量进行属性约简的方法。
This paper proposes the concept of the decision table of the attributes reduction, and gives the method of the reducing attributes based on discernibly vector.
提出了两级金字塔影像上的决策树支持向量机方法，解决航空影像中多类地物的分割问题。
This paper proposes the method of decision-tree SVM on two levels pyramid image, it could solve the segmentation problem of multi-classes objects on aerial image.
阐述了解不确定型决策分析问题的实质就是将益损值矩阵经变换向量转换为一维压向量。
The essential for resolving uncertain decision-making problem is how to transform the benefit and loss matrix to the compressed real vector with one dimension.
现有的分类预测的方法有许多种，常见的有决策树算法(C4.5)、贝叶斯分类算法、BP算法与支持向量机等。
There are many classification methods to forecast such as decision tree algorithm (C4.5), Bayes algorithm, BP algorithm and SVM.
介绍了一个建立在向量空间模型上的电池分类系统，提出了一个基于模糊决策的快速完成识别电池容量和曲线一致性的计算方法。
A cell classify system based on vector space model was introduced and a fast fuzzy based algorithm for recognizing capacity and curve of battery was proposed.
算例表明相对其他方法，支持向量机有着最佳报价决策的能力。
The simulation indicates that the SVM has much better generalization ability than the compared methods.
在线加工时，实时提取加工工件的特征向量并与各分类器进行对比，根据决策函数值即可识别该工件的类型。
During identification stage, characteristic vector of workpiece under machining should be extracted in real time and then compared with each classifier.
向量形式的对象描述和相似性的表示方法在某些适宜的决策空间中提供了较好的推广方法。
Vectorial object descriptions and proximity representations provide a good way for generalization in some appropriately determined Spaces.
该模型把决策者的偏好信息视为一种约束，而非传统模型中的确定权重向量。
In this model, Decision-maker's subjective preference is reflected in term, of preference restraint rather than a specific weight priority vector as in conventional models.
论文以决策强度、条件向量的覆盖度和属性的重要性为启发式信息，提出了条件向量约简的一种启发式算法，通过实验验证了该算法是有效的。
In this paper, a heuristic algorithm based on decision strength, the coverage degree of condition vectors and the significance of attribute for condition vectors' reduction is proposed. Experi...
通过规范化决策矩阵和目标权重向量得到各方案的综合评价值；
Furthermore, with the help of the normalized decision-making matrix and the object weight vector, the comprehensive evaluations of the alternatives were worked out.
通过规范化决策矩阵和目标权重向量得到各方案的综合评价值；
Furthermore, with the help of the normalized decision-making matrix and the object weight vector, the comprehensive evaluations of the alternatives were worked out.
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