核函数分别采用多项式和径向基函数。
The kernel functions are generated to use polynomials and radial basic functions.
一种核函数的设计改进算法，有兴趣的人可以看看。
Design of a kernel function to improve the algorithm, those who are interested can look at.
由协方差函数的统计特征，可给出核函数的参数估计。
According to the statistic characteristic of covariance function, parameter estimation can be given for kernel function.
研究了具有参数优化的核函数法及其在聚类问题中的应用。
It studies kernel function method with parameters optimized and its application in pattern clustering.
应用LOO估算选择的核函数模型能够较好地逼近最佳值。
The kernel function model selected by LOO estimation can approach the best value satisfactorily.
应用loo估算选择的核函数模型能够较好地退近最佳值。
The kernel function model selected by LOO estimation can approach the best value satisfactorily.
通过引入窗口核函数，准确地反映了不同深度的地质信息。
Geological information at different depth was described by introducing a mixed window kernel function to SVM.
通过引入核函数，支持向量机可以很容易地实现非线性算法。
SVM can deal with nonlinear problems in classification and Regression easily by using kernel functions.
就地壳垂直形变分析的实际情况而言，不宜采用高阶的核函数。
For the crustal vertical deformation analysis, higher-order kernel function is not sortable.
因此研究支持向量机的核函数性质，对于寻找核函数有重要意义。
Therefore it is of great significance to study the properties of kernel function of support vector machine.
本文提出了利用一维核函数构造多维密度函数一个新估计的方法。
In this paper, a new kernel estimator of multivariate density is proposed by using a univariate kernel function.
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。
For this reason, several important properties of kernel function are discussed on the basis of support vector machine.
证明当分布时滞的核函数取弱核形式时，平衡点是绝对渐近稳定的。
When the kernel function of the distributed delay takes the form weak kernel, the positive equilibrium is Absolutely asymptotically stable.
具有任意曲线前缘的亚音速升力面的气动敏感性导数由核函数法给出。
Aerodynamic sensitivity for subsonic lifting-surface with arbitrary curved leading edge is evaluated by kernal function method.
最后讨论了离散尺度与小波核函数的构造，核函数选择与核参数学习。
Finally, the construction of discrete scaling and wavelet kernels, the kernel selection and the kernel parameter learning are discussed.
通过线性规划技术和采用尺度函数作为核函数来实现支持向量回归模型。
Using linear programming technique and scaling kernel function, the support vector regression model was obtained.
不同分类核函数的相互比较分析表明，线性核函数最适合黄瓜病害识别。
The comparison of different kernel functions for SVM shows that liner kernel function is most suitable for recognition of cucumber disease.
研究核函数的几何度量和几何性质，并给出核函数选择(核选择)的建议。
The geometric measures and properties of the kernel functions were studied and some Suggestions about the selection of kernel functions were presented.
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.
不同分类核函数的相互比较分析表明，线性核函数最适于植物病害的分类识别。
The comparison of different kernel functions for SVM shows that liner kernel function is most suitable for shape recognition of plant disease spot.
在SVM学习中，对SVM的核函数及其参数的选择还没有形成一个统一的模式。
With SVM, there is no a uniform mode to choice SVM's kernel function and its parameters.
核函数参数和误差惩罚因子的选择对支持向量机模型（SVM）的精度有较大影响。
The selection of the kernel function parameter and error penalty factor affected the precision of the support vector machine (SVM) significantly.
本文给出了在跨音速流动中，计算三维机翼非定常载荷分布的核函数法和计算结果。
A kernel function method and the results of computing unsteady load on three-dimensional wings in transonic flow are presented in this paper.
不同分类核函数的相互比较分析表明，径向基核函数最适合于葡萄病害的分类识别。
The comparison of different kernel functions for SVM shows that RBF kernel function is most suitable for recognition of grape disease.
不同的分类核函数的相互比较分析表明，径向基核函数最适合玉米病害的分类识别。
The different classification kernel functions are compared, and analysis shows that the radial base function most suits the corn leaf disease classification recognition.
首先分析了自适应高斯核函数的局限性，并作了改进，同时给出了其参数估计方法。
This paper improves the adaptive Gaussian kernel (AGK), and presents a novel method for estimating parameters of AGK.
说明：为支持向量机设计了一种新的直方图核函数运用在图像分类上取得不错的效果。
The paper designed a new histogram kernel function for support vector machines which achieved good results in image classification .
声压级增大不仅使团聚核函数增大，也增大了碰撞效率，使高声压级时的团聚更有效。
Higher sound pressure level (SPL) favored both collision efficiency and agglomeration kernel, so acoustic agglomeration increased in the higher-intensity acoustic field.
核函数是SVM的关键技术，核函数的选择将影响着支持向量机的学习能力和泛化能力。
Kernel function is the key technology of SVM, the choice of kernel will affect the learning ability and generalization ability of SVM.
核函数是SVM的关键技术，核函数的选择将影响着支持向量机的学习能力和泛化能力。
Kernel function is the key technology of SVM, the choice of kernel will affect the learning ability and generalization ability of SVM.
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