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smooth support vector machine (SSVM) 光滑支持向量机
As prediction tools, smooth support vector machines (SSVM) is adopted.SSVM outstands on classification and prediction in recent years, but has not been applied to spread studying yet. 在预测工具的选择上，则采用近年来于分类、预测领域表现杰出，却尚未被应用于价差实证研究之平滑支撑向量机(SSVM)作为本研究之预测工具。
Customer Management of Commercial Banks Based on Polynomial Smooth Support Vector Machine 支持向量机在商业银行客户管理中的应用研究
smooth support vector machine 光滑支持向量机
On Probability of Newton-Preconditioned Conjugate Gradient for Solving Smooth Support Vector Machines 用牛顿-条件预优共轭梯度法求解光滑支持向量机的可能性研究
Wavelet and support vector machine are used to classify the audio clips. 使用小波变换和支持向量机的方法对音频进行分类。
The uploaded Support Vector Machine (SVM) Classifier can classify text-type data well. 详细说明:支持向量机分类器(可分类文本,编的非常不错)
Support Vector Machine (SVM) , which based on Statistic Learning Theory, has the adaptive generation ability. 建立在统计学习理论基础之上的支持向量机具有和样本数相适应的最优泛化能力。
For this reason, several important properties of kernel function are discussed on the basis of support vector machine. 为此，在研究支持向量机的基础上，给出了核函数的若干重要性质。
The support vector machine forecasting model is proposed to improve the accuracy. 为提高精度，提出了支持向量机非线性的组合预测模型。
Handwritten number recognition based on support vector machine adopts the US post service database. 支持向量机的手写体数字识别中,采用美国邮政服务数据库。
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。
Finally, Support Vector Machine (SVM) was used to validate the correctness of algorithm. 最后利用支持向量机(SVM)作为算法验证的分类器。
smooth support vector regression 光滑支持向量回归
A multiclass support vector machine suitable for short duration power quality disturbance is designed. 设计了适用于短时电能质量扰动的支持向量机多值分类器。
A new method of dynamic clustering based on the idea of optimal hypersphere and support vector machine. 摘要提出了基于最优超球面与支持向量机思想的动态聚类算法。
The last topic is about a trainable object detection system using at its core a Support Vector Machine classifier. 最后一个主题将讲解支持向量机分类物中核心使用的可训练物件侦测系统。
A new time series prediction method was put forward, based on fuzzy least square support vector machine (FLS-SVM). 摘要提出了一种基于隶属度模糊最小二乘支持向量机(FLS-SVM)的时间序列预测新方法。
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。
The theory of least square support vector machine was introduced.The LS-SVM model was set up to predict PMV. 摘要介绍了一种新型的机器学习算法-最小二乘支持向量机的原理，并针对预测PMV指标建立了最小二乘支持向量机预测模型。