混合核函数的引入，使得SVM又多了一个可调参数。
With the introduction of mixed kernels, SVM has one more adjustable parameter.
为了使相似性衡量尺度与样本特征的分布特点相适应，提出利用相似度分割特征集的混合核函数构造方法。
In order to adjust the similarity metrics to the distribution of the feature, a kernel function construction based on feature set division is proposed.
介绍了几种新的基于核函数方法的软测量建模技术，并提出了针对复杂工业过程的混合核函数软测量建模方法。
Several new modeling technologies based on kernel function are introduced and the modeling method of soft measurement based on hybrid kernel function is stated for complicated industrial processes.
混合核函数集中了多个核函数的特点，兼具局部和全局特性，并可以通过参数调节他们对混合核函数的作用，将过程的先验知识融入到核函数的确定，进而适合不同的应用。
The influence of different kernels can be turned by parameter to combine the prior knowledge in the determination of the kernels, which makes this method more suitable for different applications.
本文在研究了众多边缘检测方法的基础上，重点研究了最小二乘支持向量机（LS-SVM）的图像边缘检测技术，提出了一种基于混合核函数最小二乘支持向量机的图像边缘检测方法。
On the basis of studying on least-squares support vector machines (LS-SVM) of the image edge detection technology, Proposed a new method, which is based on mixed Kernel LS-SVM image edge detection.
通过对波函数的分析，研究了这些核中的混合对称态。
The mixed symmetry states are investigated in these nuclei by analyzing the wave functions.
通过对波函数的分析，研究了这些核中的混合对称态。
The mixed symmetry states are investigated in these nuclei by analyzing the wave functions.
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