搜索资源列表
myworkonnnet
- 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial
SVM
- MATLAB中svm入门ppt介绍及程序实例介绍-Getting Started with MATLAB, and procedures of example to illustrate svm
PSO
- 用粒子群算法优化RBF网络权值，根据适应度值对个体最优和群体最优进行更新-Particle Swarm Optimization with RBF network weights, according to the best fitness value of individuals and groups to update the best
ToolBox
- matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。-This toolBox used in the image processing(feature extraction and classification) PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others
SVM
- 支持向量机 最小二乘支持向量机 matlab ls-svmlab SVM matlab matlab工具 matlab 支持向量机 svm LS-SVMlab工具箱及示例程序-支持向量机 最小二乘支持向量机 matlab ls-svmlab SVM matlab matlab工具 matlab 支持向量机 svm LS-SVMlab工具箱及示例程序
rbf
- 向量机算法中的核函数 向量机算法中的核函数-SVM kernel function
rbfSVM
- 基于RBF径向基核函数实现SVM支撑矢量机算法，-SVM algorithm based on RBF kernel
svm-rbf-demo
- SVM-RBF演示程序直接放到matlab command窗口运行就可以了-SVM-RBF demo program directly into the matlab command window to run on it
svm-rbf-demo
- 基于RBF核函数的最小二乘支持向量机演示程序，对学习支持向量机有帮助-Based on RBF kernel functions, the least squares support vector machine (SVM) demo application to the study of support vector machine have help
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
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
- classify using one-against-one approach, SVM with linear, 3rd degree poly,RBF 7 kernel
svm-rbf-demo
- 一个SVM的demo，RBF demo matlab程序,运行demo.m即可-A demo RBF, demo matlab SVM program, running demo.m can be
HW6
- non linear svm with libsvm with RBF kernel
matrbf
- 在MATLAB中调用核函数为rbf的svm，通过训练数据对测试数据进行分类（仅适用于二分类数据）(In MATLAB, use the kernel function rvf svm, through the training data on the test data classification (only for two categories of data))
D2dataset-master
- Perform SVM and test results a) For now, assume that the main scr ipt is grid_search.IT performs a grid search for SVM using RBF kernel , for the 2 parameters C and gamma .Criterios for choosing the right values is the F1 score and accuracy of the
MATAB神经网络30个案例分析
- 该PDF共有30个MATLAB神经网络的案例，包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络；还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。本PDF作为本科毕业设计、研究生项日设计、博士低年级课题设计参考书籍，同时对广大科研人员也有很高的参考价值。(The PDF has a total of 30 MATLAB in the case of neural networks, including BP, RBF, SVM
function fitting
- Bp\感知器\SVM\RBF的神经网络函数拟合程序，其中大部分都是一维输入一维输出，特别适合刚入门的学习者。(These Program were BP\PERCEPTION\rbf\svm function fitting used matlab)
PSO-SVM
- 粒子群算法优化支持向量机的惩罚参数c和rbf的参数gamma。(Particle swarm optimization (PSO) optimizes the penalty parameters c and RBF of SVM gamma.)