搜索资源列表
SVMmatlab
- 具有非线性回归功能的支持向量机算法。可有效实现目标特征进行训练和识别。-Nonlinear regression functions with support vector machine algorithm. Features can effectively achieve its objectives of training and recognition.
intro_SVM_new
- 支持向量机的介绍,介绍支持向量机的方法原理的文章-A Simple Introduction to Support Vector Machines
svmTrain
- 一个matlab平台应用的svm工具箱,该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法-A matlab platform applications svm toolbox, the kit includes two kinds of classification, two kinds of return, and a one-class support vector machine algorithm
958346svmlight
- 支持向量机分类器 训练器 可以直接使用 C++语言实现 SVMLight-Support Vector Machine classifier training can direct the use of C++ language SVMLight
psoSVM
- 利用微粒群算法(pso)优化支持向量机(SVM)的参数-c,-g-Using pso optimized support vector machine parameters-c,-g
Classification_toolbox
- 用于分类的一个工具箱,内含支持向量机、神经网络、主元分析、多变量样条等方法的matlab源代码,还有用户手册。-A tool for classification, including support vector machines, neural networks, principal component analysis, multivariate methods such as spline matlab source code, as well as user manuals.
mgatext
- 遗传算法程序——支持向量机——参数优化程序-Genetic algorithm parameter optimization procedure------------
LSSVM
- 可以利用最小二乘支持向量机进行训练和预测-LSSVM for modeling and predicting.
LS-SVM
- 这是对于工业过程中连续搅拌釜反应器用支持向量机建模的实例。预测效果很好。-This is for the industrial process of continuous stirred tank reaction used in support vector machine modeling examples. Very good prediction.
SVM_SMO_gaoshsh
- 支持向量机(SVM)的SMO算法实现。包括matlab源代码文件、支持向量机的pdf文档,源代码word文档。-Support Vector Machine (SVM) algorithm of SMO. Including the matlab source code files, Support Vector Machines pdf documents, source code for word documents.
基于模糊模型支持向量机的混沌时间序列预测
- 基于模糊模型支持向量机的混沌时间序列预测,很好的期刊
LS-SVMlab1[1].5
- 基于支持向量机回归的LS-SVM的matlab源码-Based on Support Vector Machine LS-SVM regression in matlab source
ls-svm_toolbox
- 很有用的支持向量机的工具箱,工具箱里包含LS-SVM的核心算法以及DEMO,内附有工具箱的使用说明-well-known svm toolbox and user guide
libsvm_matlab
- 一个MATLAB的支持向量机程序,并包含几个使用实例-A MATLAB support vector machine procedures, and contains several use cases
GA_SVM
- 这是一个基于改进了的支持向量机源代码,经改进后,SVM效率大大提高-This is based on improved support vector machine source code, the improved, SVM efficiency is greatly improved
LS_SVM
- 最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测-Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction
lssvmpso
- 基于粒子群优化最小二乘支持向量机参数的程序,很好用-pos_lssvm
mysvm
- mysvm c++版本,支持向量机,可用于回归预测等-mysvm c++ version
OSU_SVM3.00
- matlab支持向量机用于多类模式的分类,较全面,可以迅速解决问题,值得下载!-matlab support vector machine model for multi-category classification, a more comprehensive, you can quickly solve the problem, it is worth to download!
RVM_matlabToolBox
- 相关向量机(RVM)的matlab源程序,包含快速算法,内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型,对未知函数进行预测或分类。 优点: (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好. -Relevance Vector Ma