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LS_SVM最小二乘支持向量机Matlab源码
- 自编的最小二乘支持向量机Matlab代码，主要用于非线性回归
SVM.SVM支持向量机的时间序列预测
- SVM支持向量机的时间序列预测、分类、自回归代码,SVM
SVM_SteveGunn.rar 支持向量机的程序
- 支持向量机的程序，可以进行分类和回归，效果比神经网络好，没有维数灾难的问题，是比较好的建模方法。,Support vector machine procedures can be carried out the classification and regression, the effect better than the neural network, there is no dimension disaster problem, it is more good modeling metho
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
- 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
SVM-for-classfication-and-regression
- 用支持向量机(SVM)实现分类与函数回归的源代码。内有实例，依湖芦画瓢即可。-Using support vector machine (SVM) classification and function to achieve the reunification of the source code. There are examples, according to Lake Lo paintings can ladle.
winsvm2.0
- 本软件是 windows系统平台下的支持向量机软件，包括了支持向量机的几种常用类型，可用于分类和回归-This software is under the windows system platform support vector machine software, including support vector machines for some commonly-used type, can be used for classification and regression
SVM_lzb1p0
- 支持向量机matlab程序 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法-Support vector machine matlab procedur
OnlineSVR_Matlab_7.0_2006_CodeManual
- 一个适合进行在线支持向量机回归辨识的Matlab源程序。-Matlab programs for on-line regression identification using Support Vector Machine
SVM_luzhenbo
- 支持向量机工具箱，可进行分类，预测等，实现了四种支持向量机工具箱的分类与回归算法，有实例-Support Vector Machine Toolbox, it can conduct classification, prediction and so on, implementation of the four support vector machine toolbox classification and regression algorithm, has examples of
svm_regressive
- 基于支持向量机（SVM）回归的MATLAB演示程序-Based on support vector machine (SVM) regression of the MATLAB demo
Regression
- 本程序是关于支持向量机回归的算法程序，希望对大家有用。--
LSSVMlab1.5
- 支持向量机用于回归，在MATLAB里实现的。方便好用-Support vector machines for regression, implemented in MATLAB in. Is easy to use
svm_predic.m
- 应用支持向量机回归和相空间重构对时间序列进行预测-Support vector machine regression and time series phase space reconstruction on forecast
Matlab-svm
- 支持向量机是一种新的回归方法，特别适用于非线性，改程序实现了支持向量机非线性回归-surport vector machine to non-linear regression
支持向量机的相关简介
- 支持向量机主要解决了分类问题和回归问题两大类
libsvm-3.22
- 支持向量机最优参数确定、支持向量机回归、分类(Optimal parameter determination of support vector machines)
LSSVM
- 用最小二乘支持向量机实现负荷预测功能，计算各个误差指标的值，并输出负荷预测对比曲线，误差曲线等(The load forecasting function is realized by least square support vector machines (LSSVM). The values of each error index are calculated, and the load forecast contrast curve and error curve are also ob
交叉验证及svr
- 交叉验证及带例子的支持向量机回归代码，修改可用。(Cross validation and support vector machine regression code with examples can be modified.)
python
- 该代码基于Python3,利用机器学习中支持向量机回归算法（SVR）实现对数据的拟合以及预测，可以通过调试C值和gamma值达到不同的拟合程度，具有较大的实际意义，并且该代码本人亲自调式运用，适合广大学习者使用。(This code is based on Python 3. It uses support vector machine regression algorithm (SVR) in machine learning to fit and predict the data. It c