因此研究支持向量机的核函数性质,对于寻找核函数有重要意义。
Therefore it is of great significance to study the properties of kernel function of support vector machine.
为此,在研究支持向量机的基础上,给出了核函数的若干重要性质。
For this reason, several important properties of kernel function are discussed on the basis of support vector machine.
该文首先介绍了构造型神经网络中的覆盖算法的特点和性质,以及与支持向量机(SVM)中的核函数法的关系。
This paper presentes the characteristics, properties and relationship of Covering Algorithms and the kernel function of Support Vector Machines (SVM) firstly.
对遥感方程核函数的基本性质进行了讨论。
The properties of the kernel functions of the remote sensing equations have been discussed.
研究核函数的几何度量和几何性质,并给出核函数选择(核选择)的建议。
The geometric measures and properties of the kernel functions were studied and some Suggestions about the selection of kernel functions were presented.
研究核函数的几何度量和几何性质,并给出核函数选择(核选择)的建议。
The geometric measures and properties of the kernel functions were studied and some Suggestions about the selection of kernel functions were presented.
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