• In order to solve the problem, support vector machine based on weighted feature is proposed in this paper.

    为了解决这个问题,本文提出了一种基于特征加权的支持向量回归机。

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  • Support vector machine based on differential evolution algorithm is introduced to resolve this problem in this paper.

    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。

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  • The support vector machine based speaker verification models are trained on the enrolled speaker and the background model.

    支持向量机用作说话人确认模型来训练目标说话人和背景说话人的语音数据。

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  • For the support vector machine based learning algorithm of classifier, it is very importance for the support vector to be pre-selected.

    在基于支撑矢量机的分类器学习算法中,预先选择支撑矢量是非常重要的。

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  • In order for an SVM to be more robust to noise, a new SVM model i. e., the support vector machine based on adjustive boundary SVMAB is proposed.

    提出了一个新的支持向量机模型——基于边界调节的支持向量机,并利用拉格朗日定理得到了这种支持向量机的对偶目标函数。

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  • The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.

    大坝渗流监测分析是大坝安全监控的重要内容,预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。

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  • Compared with multivariate statistics and artificial neural networks, support vector machine based on structure risk minimization has better classification performance.

    与统计分析和神经网络相比,基于结构风险最小的支持向量机有更好的分类性能。

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  • 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.

    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。

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  • The support vector machine based on statistical learning is a new type of machine learning algorithm, which has become the hot spot of academic study because of its excellent learning performance.

    基于统计学习理论的支持向量机是一类新型的机器学习算法,由于它出色的学习性能,该技术已经成为当前学术界的研究热点。

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  • This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine.

    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。

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  • A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.

    提出了一种最小二乘支持向量机的电池剩余电量预测新模型。

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  • The support vector machine is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.

    支撑矢量机是根据统计学习理论提出的一种新的学习方法,即使用核函数在高维空间里进行有效的计算。

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  • The fuzzy judgment support vector machine algorithm based on loss function is proposed, and compared with fuzzy sample support vector machine algorithm.

    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。

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  • Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.

    支持向量机是一种基于统计学习理论的新型机器学习方法,它可以被广泛地用于非线性系统建模。

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  • A new method of infrared spectrum analysis based on support vector machine for mixture gas was proposed.

    介绍了一种基于支持向量机的混合气体红外光谱组分浓度和种类分析的新方法。

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  • The prediction method of network delays based on support vector machine (SVM) was put forward.

    进而提出了基于支持向量机(SVM)的网络延时预测方法。

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  • The support vector machine(SVM) is a new learning technique based on the statistical learning theory.

    支持向量机(SVM)是根据统计理论提出的一种新的学习算法。

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  • This article presents a new method of plant classification of iris based on the support vector machine classification principle.

    提出了基于支持向量机的分类原理对鸢尾属植物进行分类的方法。

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  • Support vector machine (SVM) is a new generation machine learning technique based on the statistical learning theory.

    支持向量机(SVM)是基于统计学习理论的新一代机器学习技术。

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  • The paper presents a Support Vector Machine (SVM) based image denoising approach.

    提出了一种基于支持向量机进行图像去噪的方法。

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  • It is proposed a fuzzy forecast control method based on support vector machine. The applications of the machine to the train start-up control are given.

    提出支持向量机-模糊预测控制方法,介绍支持向量机在列车启动控制过程中的应用。

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  • The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.

    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。

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  • A learning machine based on support vector machine is proposed in this paper, which is applied to single-chip smart sensor system.

    提出一种基于支持向量机回归的学习机,并将其应用于单片机智能传感器系统中。

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  • This paper proposes a new Support Vector Machine(SVM) for anomaly intrusion detection method based on Latent Semantic Indexing(LSI).

    论文提出了一种基于潜在语义索引(LSI)和支持向量机(SVM)的异常入侵检测方法。

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  • With an analysis of the estimation of cigarettes tar content, an estimation method is proposed based on Support Vector Machine (SVM).

    分析了卷烟焦油含量预测问题,提出了基于支持向量机的卷烟焦油含量预测方法。

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  • A classification method based on Support Vector Machine (SVM) is given in the digital modulation signal classification.

    给出了一种基于支持向量机的数字调制信号分类器设计方法。

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  • Support Vector Machine is a new method based on the idea of VC dimension and Statistical Learning Theory in data mining.

    支持向量机是基于VC维和统计学习理论理念的数据挖掘中的一种新方法。

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  • A new method for modulation classification based on Support Vector Machine (SVM) is presented.

    提出一种基于支持向量机的实际调制信号自动识别新方法。

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  • Considering the complexity of the atmosphere's space-time change, we design models based on Support Vector Machine for different seasons, respectively.

    考虑到大气时空变化的复杂性,针对各个季节分别设计了基于支持向量机的预报技巧的预报模型。

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  • This paper studies a plane image recognition algorithm based on Support Vector Machine (SVM).

    研究了一种基于支持向量机的飞机图像识别算法。

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