1.
Equalizer based on wavelet kernel support vector machine
![点击朗读](/dictall/images/read.gif)
基于小波核支持向量机的均衡器研究
2.
A Comparison of RBF Neural Network with RBF Support Vector Machines
![点击朗读](/dictall/images/read.gif)
RBF网络和RBF核支持向量机比较研究
3.
SVR using Mixtures of Kernels and Its Application in Forecasting of Electricity Consumption of Society
混合核支持向量回归及对社会用电量的预测
4.
Signal Regression Based on Least Square Reproducing Kernel Support Vector Machine;
![点击朗读](/dictall/images/read.gif)
基于最小二乘再生核支持向量机的信号回归
5.
Speaker Recognition Based on New Sequence Kernel SVM
![点击朗读](/dictall/images/read.gif)
基于新序列核支持向量机的说话人识别
6.
Speaker Verification Based on SVM with GLDS
![点击朗读](/dictall/images/read.gif)
基于广义线性区分核支持向量机的说话人确认
7.
Improved polynomial SVM classifier for text categorization
![点击朗读](/dictall/images/read.gif)
一种改进的多项式核支持向量机文本分类器
8.
Feature kernel support vector machines for signal detection with reverberation
![点击朗读](/dictall/images/read.gif)
混响背景中信号检测的特征核支持向量机
9.
The Study on Fourier Kernel Function in Support Vector Machine;
![点击朗读](/dictall/images/read.gif)
支持向量机中Fourier核的性能分析
10.
Study and Application of Support Vector Machine Based on Pulse Kernel;
![点击朗读](/dictall/images/read.gif)
基于脉冲核的支持向量机研究与应用
11.
A Study on the Multiscale Kernel SVM Algorithm and Its Application;
![点击朗读](/dictall/images/read.gif)
多尺度核函数支持向量机算法及其应用研究
12.
Geometrical Bisection Methods in Kernelized Space and Fuzzy Support Vector Machine;
![点击朗读](/dictall/images/read.gif)
核空间中的平分最近点法与模糊支持向量机
13.
The Application of Hybrid-Kernel Function Support Vector Machine in Credit Evaluation;
![点击朗读](/dictall/images/read.gif)
混合核函数支持向量机在信用评估中的应用
14.
The Algorithm Research and Verification of Support Vector Machines Based on Different Kernel Functions
不同核条件下的支持向量机算法研究及验证
15.
A Kernel Granular Support Vector Machine Based on Association Rules
![点击朗读](/dictall/images/read.gif)
一种基于关联规则的核粒度支持向量机
16.
Prokaryotes gene identification based on nonlinear SVM
![点击朗读](/dictall/images/read.gif)
基于非线性支持向量机的原核生物基因识别
17.
SVM Kernel Function Selection In Emotion Recognition
![点击朗读](/dictall/images/read.gif)
表情识别中支持向量机核函数选取研究
18.
Kernel Function based on Two-variable b-spline basis and SVM
![点击朗读](/dictall/images/read.gif)
基于二元B样条基的核函数及支持向量机研究