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- 利用支持向量机技术建立传感器的回归模型。利用粒子群算法优化回归模型参数，以达到提高建模效率及精度的目的。-The support vector machine technology to build the regression model of the sensor. Utilizing particle swarm optimization of the parameters of the regression model, in order to achieve the purpose t
OnlineSVR-CPP-Code
- 支持向量机在线学习训练算法C++源码，可以用来做数据分类、模式识别、回归估计、概率密度函数估计等方面。-Support vector machine online learning training algorithm C++ source code, can be used for data classification, pattern recognition, regression estimation, probability density function estimation an
SVM
- 改进后的支持向量机回归代码，需要安装LIBSVM-farutoUltimateVersion工具包。去I love matlab论坛直接搜索下载。附代码说明-Improved support vector machine regression code, you need to install LIBSVM-farutoUltimateVersion toolkit. I love matlab forum to search directly download. With Code Descr
SVM
- 支持向量机回归拟合模型，通过仿真训练得出最好的拟合效果-Support vector machine regression model obtained through simulation and training the best fitting results
SVM
- 支持向量机回归，可用于分析大量数据的回归预测-Support vector machine regression can be used to analyze large amounts of data regression
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- 非线性控制系统的支持向量机辨识建模研究 针对非线性控制系统辨识建模难的问题， 系统研究了基于支持向量机的非线性控制系统的辨识建模理论和方法， 然后利用回归型支持向量机( Support Vector Regression， SVR) 设计了一个非线性控制系统的辨识建模系统 仿真试验结果表明， SVR 具有很高的建模精度和较强的泛化能力， 从而验证了该辨识方法的有效性和先进性。-Nonlinear Control Systems Support Vector Machine Iden
SVM-KM
- 支持向量机的工具箱，包括训练，选参，分类，回归-Support Vector Machine Toolbox
svm
- 支持向量机的回归拟合——混凝土抗压强度预测,介绍SVM回归拟合的基本思想和原理，并以实例的形式阐述其在混凝土抗压强度预测中的应用。-Support vector machine regression- concrete compressive strength prediction, SVM regression introduce the basic ideas and principles, and examples in the form set forth in the concrete
SVM_Regression
- 支持向量机的非线性回归，得到非线性函数y=f(x1,x2,…,xn)的支持向量解析式-SVM nonlinear regression, nonlinear function y = f (x1, x2, ..., xn) analytical support vector
SVM
- 使用MATLAB编程“支持向量机聚类”与 “支持向量机回归”-Support vector machine clustering and support vector machine regression
msvr
- 实现多输出的支持向量机回归，不需要对每一个输出都进行函数回归-Multi-output support vector machine regression，Each output does not need to be a function of the regression
SVM_MATLAB
- 四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Vector Machine SVM classification and regression algorithm toolbox four support. Written in MATLAB
SVM-regression-forecasting
- 支持向量机除了可以进行分类预测还可以进行回归预测，源代码为使用支持向量进行回归预测。-In addition to SVM classification can also be predicted regression prediction, the source code for the use of support vector regression to predict.
SVMNR
- 支持向量机非线性回归的通用程序，是模式识别领域的重要分类方法-Support Vector Machine for Nonlinear Regression，All rights reserved
support-vector-machine-
- 用支持向量机svm实现分类与函数回归，其中包括svc程序，svc输出程序以及svr绘图程序-Classification and function regression using support vector machine svm, including svc program, svc output of the program as well as a drawing program svr
SVM-regression-forecasting
- 支持向量机除了可以进行分类预测还可以进行回归预测，源代码为使用支持向量进行回归预测。-In addition to SVM classification can also be predicted regression prediction, the source code for the use of support vector regression to predict.
SVM-Matlab-toolbox
- 支持向量机（SVM）的matlab工具箱。支持分类和回归。-Support Vector Machine (SVM) matlab toolbox. Support classification and regression.
SVM-regression
- 基于SVM的回归预测算法，用于开始学习支持向量机，详细，简单，具体-SVM regression prediction algorithm based on support vector machines for start learning, detailed, simple, specific
HUIGUI-svm
- 回归性支持向量机Regression support vector machine-Regression support vector machine
LSSVMlabv1.8
- 最小支持向量机最新的MATLAB工具包，包含了回归和分类等主要的功能。-lssvm latest matlab toolkit contains predict and classify other major functions.