核函数

After a brief summary of the research developments in particle average collision kernel model, correlated mathematic models and numerical simulation algorithms, direct numerical simulations were conducted to study particle collisions in a stationary isotropic homogeneous turbulent flow, with the aim to investigate the influence of turbulence on particle collision kernels of various finite-inertia particles.

本文在系统总结有关颗粒平均碰撞核函数的研究进展和相关数学模型的基础上，基于高效的后溯法来检测碰撞，首先对Reλ约为51均匀各向同性湍流内St_k (St_k=τ_p/τ_k)为0到10的有限惯性颗粒的碰撞行为进行了直接数值模拟，研究了湍流对有限惯性颗粒碰撞的影响。

The parameter of the support vector machine and the length of sliding step in smoothing the power spectrum are determined by experiments.

通过实验确定了支持向量机核函数的参数和功率谱平滑的滑移步长。

In the optimization algorithm, the kernel function and some parameters of support vector machine were optimized synchronously.

在GA对R寻优过程中，SVM的几个参数以及核函数同时进行最优化。

In this paper,the problem of the rate of uniform convergence in the normal approximations of the Von Mises Statistics will be considered.

本文讨论了Von Mises统计量向正态逼近的一致收敛速度问题，在核函数仅满足二阶矩条件下，给出了上述收敛速度的上、下界，所得结果改进了 [2 ]中相应结论

Many polarimetric target decompositions were explored, and support vector machine was applied to the classification of polarimetric SAR image. A new algorithm of target classification was presented based on polarimetric target decomposition and support vector machine. Finally, the effect of classification results was discussed by selecting different kernels and different parameters.

五系统地对各种极化目标分解方法进行了深入的探讨，并应用支持向量机对极化SAR图像进行分类研究，提出了一种基于极化目标分解和支持向量机的目标分类算法，并通过选择各种类型的核函数以及不同的参数，探讨其对地物目标分类结果的影响。

To improve the performances of dynamic system identification, a new method to formulate scaling kernel function for support vector machine was proposed.

为了提高非线性动态系统辨识质量，提出了新的支持向量机尺度核函数构造方法。

Support Vector Machine with hybrid Kernel Function for Handwritten Chinese Character Recognition.

基于混合核函数的支持向量机在手写体汉子识别中的应用。

In this experimental system, the main feature is that user can do some basal operation expediently using graphical interfaces, namely loading the existent data sets or creating new data sets, and choosing different kernel function to train the SVM classification, which can classify the given data correctly, it shows the result of classification and comparison of performance intuitionally.

在该实验系统中，最大的特点是用户可以通过图形界面方便地进行一些基本的操作，即装载已有的数据集，也可以创建新的数据集，并选择不同的核函数训练支持向量机分类器，能够对数据进行正确的分类，比较直观地显示了分类的结果。

The SVM method is based on the theory of structural risk minoration. It can map the sample space to a higher feature space by selecting an optimal Kernel function, and get a linear regression in this higher feature space.

中文摘要：支持向量机方法是基于结构风险最小化原理提出的，通过采用合适的核函数将样本空间映射到一个高维特征空间，再在高维特征空间进行线性回归。

With this advanced radiative transfer model, we simulate the multispectral, multiangular reflected solar radiance measured by the future satellite.

1在分析不同散射角反演核函数的基础上，发现了一个卫星可以观测得到的20～30°小散射角区域。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。