Support Vector Machine的例句大全

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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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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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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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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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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In the light of dissatisfactions of existing personal credit scoring methods, support-vector-machine ( SVM) which has many good properties including global convergence and good ability of extension is put forward and applied to evaluate personal loan application.

针对传统个人信用评估方法的不足，鉴于支持向量机具有全局收敛性和良好的推广能力，本文将这种新方法应用到信用评估中，并进行了实例应用。

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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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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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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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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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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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Sensitivity Analysis of Electricity Price Based on Support Vector Machine

基于支持向量机技术的电价灵敏度分析模型

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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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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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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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System marginal price prediction and confidence interval estimation with ν-support vector machine

基于ν-支持向量机的边际电价预测及置信区间估计

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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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