研究了兼顾学习和推广能力的核组合，以及优化核参数方法。
Kernels'combination is studied beneficial for learning and generalization ability, as well as the method of optimizing kernels'parameters.
结果表明，优化核参数的支持向量机分类器准确率高，实时性好。
The classification accuracies indicated that the optimal kernel-parameter method could get optimal results.
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.
指出了IP核参数化设计的重要性，分析了IP核的参数类型及相互关系。
The importance of IP parameterized design is pointed out and the parameter type and correlation are analyzed in this paper.
核参数选择是基于核的分类算法的一种新型技术，对于基于核的分类器起着至关重要的作用。
As a new technology, the choice of kernel parameters plays an important role on the kernel classification.
由于该方法易陷入局部最优解，提出了一种基于混合遗传算法求解LOO上界极小点的核参数选择方法。
Usually, the steepest descent algorithm is used to find the minimum of LOO upper-bound. However, it often gets local optimal solution.
此外，基于核的技术关键在于核函数以及核参数的选取，核函数不同及核参数不同都会影响状态监测的效果。
Furthermore, the selection of kernel functions and parameters is the task of key importance in kernel-based technology, which has a significant impact on monitoring results.
此外，针对相关向量机回归计算结果受核参数影响较大的问题，本文还提出一种基于微粒群算法的相关向量机核参数自适应优化方法。
In addition, an adaptive kernel relevance vector machine based on PSO is presented to deal with the problem that the regression performance of classical RVM is often influenced by kernel parameters.
该算法根据支持向量域数据描述本身的特点，利用非高斯性来测量核空间样本接近球形区域分布的程度，并根据此测量结果来优化核参数。
According to the characteristic of SVDD, the proposed algorithm utilizes the non-Gaussian to measure how kernel samples approximate to a spherical area, and then optimize the kernel parameter.
结果表明，通过对核参数的适当选取，可使最大特征值的贡献率达到或接近85 %，避免了多个主成分的不同组合而导致的评价结果的不一致。
The results showed that the maximum eigenvalue contributes nearly 85 % by choosing appropriate parameters, avoiding the different array as a result of many principal composition.
在测试环境中，每个节点有两个支持并发多线程的4核处理器，所以有16个可用的位置，可以把这两个参数设置为7。
In the testing environment, each node has two 4-core processors that support simultaneous multi-threading, so you have a total of 16 available slots and can set both parameters to 7.
结果表明，当跨越膝区时延伸率及相应的核作用参数发生变化。
The results show that there is change in the elongation rate and corresponding nuclear interaction parameters when span knee region.
最后分析了IP核的接口信号，并对IP核的性能进行了评估，给出了评估参数。
Finally analyzes the interface signals of IP-CORE, and estimates its performance, gives estimating parameters.
通过分析和计算锕系核裂变截面和全套中子反应截面获取了一组锕系核的裂变位垒参数。
The fission barrier parameters for actinide nuclei were obtained by analysis and calculations of fission cross-sections and complete neutron reaction cross sections.
本文阐述了固体核径迹自动计数和参数测量的方法及其主要的应用领域。
This paper describes the methods of automatic counting and parameter measurement by the technique in solid state nuclear detector as well as its main applications.
FITLINK是NDFMPS堆芯核设计和燃料管理程序系统的主要程序之一，是一个组件截面参数处理程序。
FITLINK is one of main programs of NDFMPS that is core nuclear design and fuel management program system, and is a treatment program of cross section parameter of fuel assembly.
结论优化的电融合参数是决定供体核-卵母细胞复合体融合与重组胚激活的关键因素。
Conclusion Optimal parameters for electrofusion are crucial for the fusion of donor-recipient pairs and the activation of the reconstructed embryo.
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.
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.
于是选择和调整光学模型势参数成为核数据计算的关键步骤。
Thus, choosing and adjusting the optical potential parameters are the crucial steps in nuclear data calculations.
本文采用高斯变异遗传算法作优化技术，实现了KPCA和GA的集成，适合核函数参数的优化选择。
In the paper, GBGM-GA is seen the optimization technique combining KPCA and GA, and is suitable to the optimization selection of kernel function parameter.
结果平均累积能量复合参数(AECP)与晶状体核硬度和角膜水肿成正相关。
Results the mean accumulated energy complex parameter (AECP) is positive correlation versus the lens nucleus hardness and corneal edema rate.
本工作研究重叠核径迹图像分割和参数统计算法。
The algorithm of image segmentation and parameters calculation for overlapping nuclear track image is studied.
讨论核密度的选择方法和平滑参数的计算。
Selecting method of Kernel density and formula of smooth parameter are also discussed.
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.
组件均匀化参数的计算是核供热堆物理设计及堆芯燃料管理计算的基础。
The calculation of homogeneous parameters is the basis of physics calculation in nuclear heating reactors(NHRs).
应用图象分析技术测定57例乳腺癌细胞核形态参数，观察它们在不同临床病理状况下与预后的关系。
The prognostic value of morphometric parameters in 57 patients with breast carcinoma of different clinical pathological features was studied.
综合参数主要利用癌细胞核形态学和色度学的特征以及黑区域消除与填补算法等图像处理技术获得。
The parameter is obtained through digital image processing techniques such as the morphologic and chromatic features of karyon, the removing and filling-up methods of black region, and so on.
综合参数主要利用癌细胞核形态学和色度学的特征以及黑区域消除与填补算法等图像处理技术获得。
The parameter is obtained through digital image processing techniques such as the morphologic and chromatic features of karyon, the removing and filling-up methods of black region, and so on.
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