采用不同核函数的支持向量机算法验证分类能力。
The classification ability was verified by support vector machines algorithm with various kernel functions.
此外，本文将支持向量机算法应用于不规则边界边值问题和多介质问题。
Moreover, we have solve boundary value problems with irregular boundary and several medias by SVM.
核函数方法中最为出名的是流行的支持向量机算法，它其实是一系列方法。
Kernel methods are best known for the popular method Support Vector Machines which is really a constellation of methods in and of itself.
核函数方法中最为有名的是流行的支持向量机算法，它实际上是一系列方法。
Kernel methods are best known for the popular method Support Vector Machines which is really a constellation of methods in and of itself.
此外，将支持向量机与粗糙集理论相结合，得到粗糙支持向量机算法(RSVM)。
In addition, we combined SVM with rough set theory, and got rough support vector machine algorithm (RSVM).
并将新的模糊隶属度模型引入自适应支持向量机，提出了模糊自适应支持向量机算法。
Introducing the novel fuzzy membership model into Adaptive Support Vector Machine (ASVM), we propose an Adaptive fuzzy Support Vector Machine algorithm (AFSVM).
通过对数据挖掘的新方法一支持向量机算法，进行研究，将其应用于轴承的寿命预测中。
By researching the data mining new arithmetic — Support Vector Machine, it is applied to the bearing life prediction.
近年来，支持向量机算法被广泛地用于检索函数(排位函数)学习问题上且应用性能卓越。
In recent years, support vector machine algorithm is widely used on the issue of learning of retrieval function (ranking function) and performs excellently.
介绍了人工智能领域最新的基于结构风险最小化原理的数据挖掘算法——支持向量机算法。
Based on the structural risk minimization principle, the latest data mining method, support vector machine (SVM) algorithm, in artificial intelligence field was introduced in this paper.
提出了基于损失函数的模糊判决支持向量机算法，并与模糊样本支持向量机算法进行了比较。
The fuzzy judgment support vector machine algorithm based on loss function is proposed, and compared with fuzzy sample support vector machine algorithm.
为解决此问题，本文提出了一种改进的支持向量机算法——DF P - PS VM算法。
To solve the problem, an improved SVM algorithm, DFP-PSVM, is presented in this paper.
然后基于支持向量机算法构造了支持向量机分类器，将其用于心电图分类，取得了较高的准确率。
Then a support vector machine classifier is constructed and applied to ECG classification. Comparing with the classification of ECG by eyes, the classification results is much more precise.
第三，针对支持向量机算法复杂度较高，难以应用于大样本分类的问题，提出了GMP-CSVC算法。
Thirdly, a GPU based massively data parallel C-SVM classification (GMP-CSVC) algorithm is presented to reduce the training time of SVM.
在分析不同围岩稳定性分类方法及支持向量机算法的基础上，提出基于支持向量机的围岩稳定性分类方法。
A new method utilizing support vector machine is proposed for classification of surround rock stability and the model of classification based on Matlab language is developed.
为了提高模糊支持向量机在数据集上的训练效率，提出一种改进的基于密度聚类(DBSCAN)的模糊支持向量机算法。
In order to improve the training efficiency, an advanced Fuzzy Support Vector Machine (FSVM) algorithm based on the density clustering (DBSCAN) is proposed.
为了解决支持向量机算法在多用户检测中存在的模型复杂及产生的支持向量数目较多的问题，该文提出一种新的非线性多用户检测算法。
To solve the problems of the complexity of SVM-MUD model and the number of support vectors, a new algorithm for nonlinear multiuser detection is proposed in the paper.
本文主要讨论支持向量机方法在聚酯工业过程软测量建模中的应用，分析各类支持向量机算法、 参数及核函数的选择对建模精度的影响。
This paper presents the Support Vector Machine and its application to modeling in the polyester industry. Several SVM Algorithms and their kernel functions are presented and compared.
通过优化支持向量机算法，将它嵌入到激光成像雷达系统的数字信号处理器(DSP)芯片内，实现目标识别的功能，有很高的现实意义。
Through optimizing the algorithm of SVM, it is embedded into digital signal processing (DSP) of laser imaging radar, achieving the function of target recognition, which has high pract.
目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。
The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.
支持向量机（SVM）是根据统计理论提出的一种新的学习算法。
The support vector machine(SVM) is a new learning technique based on the statistical learning theory.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
在软测量建模过程中，基于支持向量机的算法能较好地解决小样本、非线性、高维数、局部极小点等问题。
In model establishment of soft-sensing, the problems of small sample, non-linearity, high dimensions and local minimal value can be well solved by support vector machine algorithm.
介绍了支持向量机分类和回归算法，将其应用于梁结构的损伤诊断中。
This paper introduces the support vector classification and regression algorithms, which are applied to the structure damage identification.
针对目前煤炭储量估计方法的局限性，提出了基于支持向量机的煤炭储量精确算法。
Aiming at the limitation of the present methods of coal reserves estimation, presented an accurate algorithm for estimation of coal reserves based on support vector machine.
本文提出了一种基于模板匹配、马赛克图和支持向量机的人脸检测算法。
In this paper, we provide a new human face detection algorithm based on template-matching, Mosaic image and Support Vector Machines.
给出了使用多支持向量机进行增量学习的算法。
An incremental learning algorithm using multiple support vector machines (SVMs) is proposed.
该文介绍了一种文本过滤算法，该算法把基于空间向量模型的主题分类算法与基于支持向量机文本态度分类结合起来。
This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine.
为了对轧线电机温度趋势预测进行研究，提出了一种基于支持向量机的温度趋势预测算法。
In order to research temperature trend forecasting of rolling electric machine, a temperature trend forecasting algorithm based on SVM is proposed.
通过支持向量机训练算法对基因表达数据进行分类训练，为分析基因数据提供有效的手段。
Through support vector machine algorithms for gene expression data classification training, SVMs provide a effective way for analysis of gene expression data.
通过支持向量机训练算法对基因表达数据进行分类训练，为分析基因数据提供有效的手段。
Through support vector machine algorithms for gene expression data classification training, SVMs provide a effective way for analysis of gene expression data.
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