搜索资源列表
libsvm-3.18
- 使用支持向量机对数据进行非线性分类，通过修改核函数径向基函数的参数来做模型-Using support vector machine (SVM) to nonlinear classification of data, by modifying the parameter of kernel function of radial basis function model
rbf-kernelsvmdemo
- 支持向量机的演示程序，可以学习到支持向量机的工作原理及变成机理。核函数是RBF核函数-Support vector machine (SVM) demo, can learn to the working principle of support vector machine (SVM) and become a mechanism. Kernel function is RBF kernel function
Neural-Network
- This folder contains the following sub-folders which are essential in our project: 1.Raw Data All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St. 2.Filter Filter to rule out signal of Channel
svmkernel
- In the case where a linear boundary is inappropriate the SVM can map the input vector for kernel
gaosihefenlei
- 用于SVM高斯核分类-Gaussian kernel for SVM classification-Gaussian kernel for SVM classification
multi-kernels-SVR
- 全局核（线性）与局部核（高斯）的加权组合，用于改进SVM的拟合和预测能力-The global kernel (linear) and local kernel (Gauss) weighted combination, to improve the SVM ability of fitting and prediction
LS_SVMlab
- 支持向量机及核函数的matlab算法集-Matlab method for kernel function of support vector machine (SVM) and set
kernel_matrix
- SVM 核矩阵的生成 支持多种核函数 线性 径向基函数等-kernel_matrix for SVM with different kernel functions
libsvm-3.20
- 利用svm进行分类器 很方便实用 强大 简介-Use svm classifier 13# highest feature index 3# kernel parameter-d 1# kernel parameter-g 1# kernel parameter-s 1# kernel parameter-r 270# number of training documents 117# number of support vectors plus 1
SVM-and-kernel
- 用于数据挖掘，在支持向量机中有重要的应用，主要用于做数据分类。-For data mining, have important applications in support vector machine, is mainly used for data classification.
cp
- svm多种核函数，选择核函数类型，参数需自行设定。-SVM a variety of kernel function, the type of kernel function, parameters need to be set.
demofun
- This a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra para
libsvm-mat-2.91-1
- 支持向量机中一个工具箱，支持二分类，四种不同的核函数-SVM a toolbox supports two classification, four different kernel functions
SVMcg
- 支持向量机参数选择，利用网格搜索法确定支持向量机的惩罚因子和RBF核参数-Support vector machine (SVM) parameters choice, the grid search method is used to determine the punishment factor and RBF kernel parameters of support vector machine (SVM)
SVM_lzb1p0
- 简单的支持向量机工具箱，包含几种简单的核函数-Simple support vector machine (SVM) toolkit that contains several simple kernel function
smo_java
- 支持向量机SVM的SMO算法的JAVA实现版本, 有线性内核和非线性BRF两个内核的算法-The SMO support vector machine SVM algorithm JAVA implementation version, linear and non-linear BRF two core kernel algorithm
svmkernel
- this file is about support vector regression and introduce program about kernel function that can used for SVM
waveletkernelmultires
- 小波核函数源代码，在基于matlab的SVM计算当中可起到重要作用-Wavelet kernel source code, which may play an important role in SVM-based culculation among matlab
13FaceRec
- 人脸特征提取与识别matlab程序，主要提取了PCA特征、SVM分类和核方法分类等，代码可以直接使用-Face recognition based on PCA features and Kernel methods, which is used in pattern extraction.
GA-PSO
- 遗传算法和粒子群算法以及网格搜索法优化神经网络SVM的高斯核参数和惩罚参数-Optimization of Genetic Algorithm Neural Network SVM Gaussian kernel parameters and penalty parameter