本文提出了基于支持向量机模型预测钢淬透性的方法，并分析了核函数的选择对支持向量机建模的影响。
In this paper, an SVM-based approach applied to predict steel quenching degree is presented, and the effects of selecting kernel function on SVM modeling are also analyzed.
利用强束缚量子点模型，忽略杂质对于电子波函数的影响，我们还讨论了如何利用核自旋构造量子位。
By making use of the strong bound quantum dot model and neglecting the effects of impurity on electron wave function, this thesis is also reported how to use the spin of nuclear as the quantum bit.
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.
研究了支持向量机参数(核函数、惩罚因子c)和影像特征维数对航空影像分割与分类的影响。
This paper researches the parameters (kernel, penalty parameter c) of SVM and the dimension of feature, which influence aerial image segmentation and classification.
本文主要讨论支持向量机方法在聚酯工业过程软测量建模中的应用，分析各类支持向量机算法、 参数及核函数的选择对建模精度的影响。
This paper presents the Support Vector Machine and its application to modeling in the polyester industry. Several SVM Algorithms and their kernel functions are presented and compared.
核函数作为样本相似性的衡量尺度是影响支持向量机分类效果的重要因素。
As the similarity metrics of the samples, kernel function is a key factor that affects the classification.
SVM核函数是众多影响识别率因素中最明显的。
SVM kernel function is one of the most critical factors that affect the recognition rate.
EMC效应的发现反映了自由核子与束缚核子的结构函数明显不同，核环境可以影响核子的内部结构。
EMC effects reflect that free nucleon structure functions are different from bound nucleon. Nuclear environment affect inner structure of nucleon.
研究表明，不同核函数对模型的性能有很大影响。
The research showed that the performance of a classification model depended on different kernel functions.
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.
接着分别针对径向基核函数和多项式核函数进行多次实验，分析这两种核函数对过滤算法的影响。
Then, experiments with the radial basic function and the polynomial kernel function are used to reveal the relationship between kernel functions and the filter algorithm.
SVC算法中的核函数参数对聚类的形成起着决定性的作用，并影响着聚类的边界和形状。
Kernel parameter of the SVC algorithm plays an important role in clustering formation, which affects the boundary and shape of cluster.
如何选择核函数的SVM分类器和函数的参数，直接影响了系统的概括和运行速度。
How to choose the kernel function of the SVM classifier and function's parameters affects system's generalization and operating speed directly.
如何选择核函数的SVM分类器和函数的参数，直接影响了系统的概括和运行速度。
How to choose the kernel function of the SVM classifier and function's parameters affects system's generalization and operating speed directly.
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