搜索资源列表
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- 关于rbf神经网络实现图像分类的IEEE英文文献 和大家一起分享-The Research of Vehicle Classification Using SVM and KNN in a ramp
SVC-and-SVR
- 基于SVM数据分类及回归分析，并采用不同的核函数如RBF,sigmoid,polynomial等-the data classification and regression analysis based on SVM, by using different kinds of kernel functions, for examples, RBF,sigmoid and ploynomial and so on
GImpprovedSVVe
- 将遗传算法(GA)与传统SVM算法结合，构造出一种参数最优的进化SVM(GA2SVM)，SVM 模型使用径向基函数(RBF))作为核函数，运用格雷码编码方式对SVM算法的模型参数进行遗传编码与优化搜索，，将搜索到的优化结果作为SVM 的最终模型参数。 -Genetic algorithm (GA) combined with the traditional SVM algorithm to construct a parameter of the evolution of the optim
windspeedsvm1-
- matlab的svm神经网络文件，可用于风速预测，能够生成预测图-the rbf neural network matlab files, can be used for wind prediction, to generate prediction chart
AdaBoostSVM
- 使用Libsvm的C#版本进行Grid搜索，核函数使用RBF核-using libsvm to run a Grid searching for the parameters of svm
svm_v251
- 用于模式分类和预测的方法——支持向量机的TOOLBOX的程序，核函数选择为 RBF核函数-Method for pattern classification and prediction- SVM TOOLBOX program, RBF kernel function is selected as the kernel function
RBFandsvm
- 利用RBF和SVM两种机器学习方法做回归预测的matlab源代码，对这两种方法进行比较-The use of RBF and SVM two kinds of machine learning methods to do the regression matlab source code, comparison of the two methods
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)
nn_basic
- 神将网络中初学必备代码，包括BP、rbf、svm等基础知识-the basic learning code of neural network ,including bp、rbf、svm .....
soft-sensor
- rbf神经网络软测量matlab程序，svm软测量matlab程序-RBF neural network soft measurement Matlab procedures, SVM soft Matlab procedures
mysvm
- SVM,支持向量机，matlab 实现，具体实现了SMO算法，线性核，高斯核-SVM,support vector machine ,matlab implement m, In details ,implement SMO algorithm,linear kernel ,RBF kernel
bpfit
- 使用BP神经网络实现一个函数的拟合，效果没有SVM和RBF的效果好，不顾还是可以用的，注意某些参数的调节。-Use BP neural network function fitting, no effect of SVM and RBF effect, despite still can be used, pay attention to adjust certain parameters.
perceptron_fit
- 用感知器，RBF，BP，SVM等进行函数拟合 -Using the perceptron, RBF, BP, SVM to ｆｉｔ ｆｕｎｃｔｉｏｎ
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))
神经网络
- 神经网络基础代码rbf，bp神经网络，svm代码，hopfiled代码。可以对初学者有很好的用处(This code is suitable for primary stage learning)
tsvm
- TSVM直推式支持向量机 TSVM实现直推向量机 设置初始参数 设置核函数类型 将核类型转换为数值参数(transductive-SVM switch to numerical parameter for kernel for RBF kernel change sigma to gamma)
5
- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and relate
1
- 本程序论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and related th