The nonlinear offline model of the controlled plant is built by LS-SVM with the radial basis function (RBF) kernel.

首先，用具有RBF核函数的LS-SVM离线建立被控对象的非线性模型；

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Two-level-classifier is designed to recognized urinary sediments. The kernel function uses the radial basis function and grid-search method is used to select the parameters of SVM.

在设计时，采用两级SVM分类器级联的方式，核函数采用径向基函数，并且用网格搜索法来选取合适的参数。

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This paper presents an adaptive algorithm of optimally determining the structures, number, positions and widths of kernel functions of the improved radial basis function (IRBF) neural networks.

本文提出了改进的RBF神经网络结构、核函数个数、位置与宽度优化算法。

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The classification accuracy of SVM based on polynomial and radial basis function kernel were compared, and the recognition accuracy of the three categories were obtained.

通过对基于多项式核函数和径向基核函数的支持向量机分类器进行比较，并且得到三种肝脏分类的识别率。

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The classification accuracy of SVM based on polynomial and radial basis function kernel were compared, and the recognition accuracy of the three categories were obtained.

通过对基于多项式核函数和径向基核函数的支持向量机分类器进行比较，并且得到三种肝脏分类的识别率。

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