核函数分别采用多项式和径向基函数。
The kernel functions are generated to use polynomials and radial basic functions.
其中,对于多层感知器网络、径向基函数网络、多项式网络尤其关注。
Of great interest, popular multilayer perceptron (MLP), radial basis function (RBF) and polynomial neural networks are the focus of the paper.
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.
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