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.
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.
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.
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.
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.
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.
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.
其中根据各样本重要性的不同，引入了加权支持向量机方法，然后利用免疫规划算法对其进行参数优化。
The immune programming algorithm, inspired by the immune system of human and other mammals, was used to optimize the parameters of weighted support vector machines.
对大规模训练样本的支持向量机训练问题进行探索，提出了一种基于正交表的并行学习算法。
Explores the training problems of support vector machine with large training pattern set, and a new parallel algorithm based on orthogonal array is presented.
研究基于支持向量机和粗糙集的相关反馈图像检索算法。
Relevance feedback algorithm based on support vector machine and rough set for image retrieval is approached.
研究了一种基于支持向量机的飞机图像识别算法。
This paper studies a plane image recognition algorithm based on Support Vector Machine (SVM).
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.
为了提高性别检测的精度，提出了一种支持向量机(SVM)与主动外观模型(aam)相结合的迭代学习算法。
In order to increase accuracy in gender classification, an iterative learning approach combining support vector machine (SVM) and active appearance model (AAM) was proposed.
介绍了最小二乘支持向量机计算法和滑动时间窗的建立。
The establishment of beast square support vector machine method and sliding time window is introduced.
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.
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.
本文首先详细介绍了支持向量机的原理和算法，根据支持向量机的分类特性，提出将支持向量机应用到FSK解码技术中。
This paper introduces the theory and algorithm of SVM at first. It proposes to use the SVM to decode FSK signal based on the classifiable character of SVM.
为了解决支持向量机的分类仅应用于较小样本集的问题，提出了一种密度聚类与支持向量机相结合的分类算法。
To solve the problem that support vector machine(SVM) can only classify the small samples set, a new algorithm which applied SVM to density clustering is proposed.
我们提出了使用支持向量机作为迟滞非线性建模和控制工具的具体算法，来分析和精确控制迟滞系统。
A support vector machine based modeling approach and a support vector machine based controlling approach are presented to analyze and control nonlinear systems with hysteresis.
将预处理后数据作为SVM(支持向量机)算法的输入，通过SVM算法来检测轴承故障。
Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm, which is used for ball bearing fault detection.
将改进的支持向量回归机与B -样条网络相结合，提出了一种建立回归曲线模型的新算法。
A new algorithm for modeling regression curve is put forward in the paper, it combines B-spline network with improved support vector regression.
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.
为了系统地归纳统计学习理论与支持向量机的基本思想和算法，总结目前该领域的最新研究成果。
The basic statistical learning theory (SLT) and its corresponding algorithms, support vector machines (SVMs), are surveyed, and especially, its latest research results are summarized and studied.
本文建立了微分进化算法的支持向量机模型，有效地解决了产业结构趋势预测问题。
Support vector machine based on differential evolution algorithm is introduced to resolve this problem 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.
结合粗糙集的属性约简和支持向量机的分类机理，提出了一种混合算法。
In this paper we present a novel hybrid algorithm based on attribute reduction of RS and classification principles of SVM.
结合粗糙集的属性约简和支持向量机的分类机理，提出了一种混合算法。
In this paper we present a novel hybrid algorithm based on attribute reduction of RS and classification principles of SVM.
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