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kernel function相关的网络例句

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与 kernel function 相关的网络例句 [注:此内容来源于网络,仅供参考]

Then we propose a new kind of kernel function—autocorrelation kernel function.

核学习方法中核函数的研究:核函数是核学习方法的核心部分。

The paper studies the form of the result of SVM with covariance function as the kernel function under some conditions, and draws the conclusion that Kriging is equivalent to SVM under those conditions. Based on the conclusion, we put forward the idea of using the covariance function as a substitute for the RBF kernel function of SVM.

摘要研究了支持向量机(support vector machine,SVM)方法在一定假设条件下,核函数取为样本协方差函数时解的具体形式,得出了在该假设情况下SVM方法等价于克立格方法的结论,提出了用协方差函数作为SVM核函数的思想。

Firstly, we use Gaussian kernel function to replace the Dirac delta kernel function, and embed the re-sampling into filtering to eliminate the impoverishment problem of the standard particle filter.

2为了解决光线变化的情况下,以及发生旋转、平移和尺度变化等姿态变化的运动目标的鲁棒跟踪问题,提出了一种基于自适应观测模型的粒子滤波跟踪算法。

In this paper, the performance of SVM based on Fourier kernel is studied which aims at the regression in signal processing questions, and the influence of parameter q on performance of SVM is analyzed. A conclusion is drew that the integral of Fourier kernel in one period is a constant and the concept of equivalent kernel function width is proposed.

本文针对信号处理中的回归问题,研究了基于傅立叶核函数支持向量机的性能,并分析了参数q对其性能的影响;根据推导得出傅立叶核函数在单个周期内积分为常数的结论,并提出了等效核宽度的概念;最后的仿真结果证实了,在信号处理领域,采用傅立叶核函数的支持向量机比采用径向基核函数的有着更好的性能。

The first way is to ensure the kernel function to be positive definite by introducing space mapping transformation;the second way is using similar-SVR model to solve the unsolvable problem of SVR model with non-positive definite kernel function.

一是通过引入空间映射变换保证所得到的SVR的核函数是正定的;二是利用近似SVR模型解决具有非正定核的SVR模型的不可解问题。

The finite-gain stability of the controller was proved under the assumption that the kernel function was local Lipschitz in this open-loop inverse control system. The sufficient condition for that Gaussian kernel function to the local Lipschitz of either variable was given. The stability of the whole system was also proved under some proper assumptions.

针对此开环逆控制系统,在核函数为局部Lipschitz的前提下,证明了控制器是有限增益稳定的,并给出Gaussian核函数对任一变量的局部Lipschitz性的充分条件,在一定合理的假设下给出了控制系统的稳定性结论。

By using testing functions to make comparative research on the precision of approximate models which were built by RBF under the condition of different sample amounts and different kernel function types, a conclusion was drawn: the model quality built by Reciprocal Multiquadric RBF as kernel function was highest when the sample amout was big, and the model quality built by Gaussian RBF as kernel function was highest when the sample amount was small.

运用测试函数对在不同样本数量与不同核函数形式下所建立的近似模型的精度进行对比研究,得出逆多二次函数与高斯函数作为核函数分别在大样本和小样本情况下精度最高的结论,并验证了径向基函数近似模型方法能够兼顾效率与精度。

The uniqueness of solution of field point, inside a convex region due to singular source with kernel function decreasing with distance increasing, outside-region-distribution such that the boundary condition expressed by the response of the source is satisfied, is proved by using the condition of kernel function decreasing with distance increasing and an integral inequality.

应用奇源解的核函数沿距离递减的条件和积分不等式,可证这类奇源在凸域外分布只要满足以它产生的响应来表达的边界条件时,所引起相应的域内场点解是唯一的。

Sinceβkernel is non-symmetric, there will be problem in the precision of graduation if using kernel graduation method, because, generally, kernel function is supposed to be symmetric in kernel graduation method, thus will cause boundary deviation in actual application.

但β核为非对称核,如果使用核修匀方法,在修匀精度上仍会存在问题,因为一般核修匀方法中均假设核函数具有对称性,在实际应用中将导致出现边界偏差现象。

This paper first discusses the nature of the kernel function,and then based on Riemannian geometry dependent on the data structure and method,an improved modifying kernel function is proposed,the kernel function is a simple and less calculation method,which conformal factor and support vector irrelevant,compared with previous studies overcomes the impact of support vector's number and distribution.

首先讨论核函数的本质,并且基于黎曼几何结构和数据依赖的方法,提出了一种改进的修正核函数,改进后的核函数形式简单,计算量较低,其中保形因子与支持向量无关,较之于以前的研究克服了支持向量的数目和分布的影响。

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