Support Vector Machine的例句大全

Then, using support vector machine classifier to conduct quality classification on speed ratio control valve.

然后, 使用支持向量机分类器对速比控制阀进行质量分类.

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NPA is currently one of the best training algorithm for support vector machine classifier.

支撑向量机是90年代中期发展起来的机器学习技术,NPA算法是目前最优秀的学习算法之一.

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The automated malware integrated analysis system ( AMIAS) can extract static and dynamic behavior features, then use support vector machine to detect malware.

通过恶意代码综合分析系统（AMIAS）提取出静态和动态行为组合特征，然后使用支持向量机建立两类分类器对样本进行检测。

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Application of Support Vector Machine Regression Algorithm in Robot Absolute Error Compensation

支持向量机回归算法在机器人误差补偿中的应用研究

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The support vector machine method for analogizing and forecasting groundwater data

地下水观测数据拟合与预测的支持向量机方法

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If we use support vector machine and support tensor machine for multiclass problems, unclassifiable regions exist.

由于对支持向量机或支持张量机来说传统的多类分类方法会出现不可分区域。

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To resolve the unclassifiable region of one-against-one support vector machine for multiclass problems, an improved one-against-one support vector machine based on distance measure is presented.

针对一对一方法存在不可分区域问题，提出了一种基于距离测度的改进方法。

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A novel data prediction model, Support Vector Machine with Granular Computation ( SVM_GC), is proposed for processing the complex prediction problems with mass biological data.

针对海量数据的复杂生物数据分类预测，本论文提出了一个新型的基于粒计算的支持向量机预测模型（SVM GC）。

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In order to identify the slight mulfunction of facility correctly and timely, a Support Vector Machine ( SVM) algorithm based on risk function is put forward.

为实现对设备轻微故障的正确识别和及时诊断，该文提出了一种基于损失函数的支持向量机（SVM）算法。

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Text filtering based on support vector machine of semantic space

基于语义空间的支持向量机的文本过滤

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The proposed method was based on vector support machine of semantic space in which text and user profile were represented by the semantic space.

提出基于语义空间的支持向量机的文本过滤，用语义来表示文本和用户模板。

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Relevance Feedback and Support Vector Machine learning are introduced into the contend-based image retrieval system. We also compare DTW GSVM results to UFM GSVM's which proves that the algorithm of DTW GSVM is effective.

在基于内容的图像检索原型系统中引入了相关反馈和支持向量机，并将DTW+GSVM算法与UFM+GSVM算法比较，验证了该算法的有效性。

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After propose the improved BP neural network model, we then use the improved BP neural network and support vector machine to predict the SZZS and make a compare the results of two methods.

在提出改进的BP神经网络模型之后，本文分别使用改进的BP神经网络和支持向量机方法对上证指数做出预测，并对两种方法的预测结果做出比较。

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It is the key point of the support vector machine ensemble learning algorithm about how to work out much more effective ensemble learning algorithms.

如何设计出更有效的支持向量机集成学习实现算法，是目前支持向量机集成学习的关键问题。

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Based on the support vector machine ( SVM) identification and the control for TSK fuzzy model of the nonlinear system are studied. Linear control theory can be used to control nonlinear system using the TSK model.

研究非线性系统TSK模糊模型的辨识与控制，利用TSK模型，可以将线性控制理论应用于非线性系统控制。

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Three typical models ( linear extrapolation model based on similar day, support vector machine model, combined forecasting model) were introduced.

对已有的三种典型短期负荷预测模型：基于相似日的线性外推模型、支持向量机模型、组合预测模型分别作了介绍。

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Using the kernel function is Support Vector Machine successful key technology of algorithm.

并阐述了支撑向量机的关键技术—核函数.

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A rolling bearing outside diameter inspection method using support vector machine ( SVM ) was developed.

提出了一套 基于机器 视觉的滚动轴承外径检测方法.

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In this article, kernel functions are formally discussed in mathematical terms and two of the kernel based learning algorithms: Support Vector Machine ( SVM) and Kernel Fisher Discriminant Analysis ( KFD) are introduced and applied to handwritten digits recognition.

本文首先从数学上形式化地讨论了核函数的基本理论及其性质，然后着重讨论了支持向量机与核Fisher鉴别两种基于核的学习算法及其在手写体数字识别中的应用。

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Research on support vector machine for intrusion detection based on latent semantic model

基于潜在语义模型的SVM入侵检测研究

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