...像; 支持向量机; 高斯核函数; 广义高斯分布 [gap=1116]Keywords: high range resolution profile;SVM;Gaussian kernel function; generalized Gaussian distribution ...
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RVM using locality preserving kernel introduces intra-class similarity into Gaussian kernel function to keep the data set’s neighborhood structure, and is applied into SR.
在RVM模型所采用的高斯核函数中引入相似度因子，以保留数据局部结构，构成保局部核RVM模型。
参考来源 - 基于保局部核RVM的说话人识别方法In a great of kernel functions, many researchers attach importance to Gauss kernel function because of its peculiar property and broad application.
在众多核函数中，高斯核函数由于其特殊的性质以及广泛的应用，得到了广大研究者的重视。
参考来源 - 支持向量机中高斯核函数的研究In addition, we discusses on gauss kernel SVM and how the parameterσinfluences the quality of SVM in tail. We also show that gauss kernel function can describe the likeness degree of the sample.
另外,本文还具体讨论了支持向量机中高斯核函数中参数σ对支持向量机学习预测性能的影响,指出高斯核函数具有描述样本相似程度这一性质,通过数值实验和理论分析给出了一种选择高斯核函数的方法—拐点法。
参考来源 - 基于支持向量机的电信话务量预测方法·2,447,543篇论文数据，部分数据来源于NoteExpress
因而，相对于自适应高斯核函数而言，两者性能更优。
So they have better performance than adaptive Gaussian kernel.
试验证明径向高斯核函数时频分布在故障诊断中有较强的特征提取作用。
The experiments are presented to show the RGK TFD has superior character extracting ability than the traditional fixed kernel TFD that is often used in fault diagnosis.
首先，为了去除测量产生的噪声和误差，引入高斯核函数为每个采样点加权；
To filter out the noise and error arising out of various physical measurement processes and limitations of the acquisition technology, a Gaussian weight is assigned to each point acquired.
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