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最小二乘支持向量机MATLAB实现源代码，可以用于模式识别以及回归，DEMOCLASS是使用方法示例-least squares support vector machines MATLAB source code, can be used for pattern recognition and regression, DEMOCLASS example is the use of
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Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and
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SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula
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支持向量机工具箱一种，主要解决分类和回归等问题，它是在matlab环境下运行的。-A Support Vector Machine Toolbox, mainly to resolve issues such as classification and regression, which is running in the matlab environment.
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支持向量机工具箱，包括了二种分类,二种回归,以及一种一类支持向量机算法。
-Support Vector Machine Toolbox, including the two kinds of classification, two kinds of regression, as well as a one-class SVM algorithm.
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SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
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支持向量机非线性回归通用matlab程序，本程序使用支持向量机法，实现对数据的非线性回归，核函数的设定和修改在函数内部进行，数据预处理在函数外部进行，简单易懂，希望能对大家有所帮助-Universal non-linear regression support vector machine matlab program, this program uses support vector machine method to achieve non-linear regression of data
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support vector regression
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支持向量回归算法的应用，可以采用支持向量机进行预测-Application of Support Vector Regression Algorithm
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支持向量机是建立在统计学习理论基础上的通用学习方法,它可较好地解决以往
很多学习方法的小样本、非线性、过学习、高维数、局部极小点等实际问题。笔者利用支持向量回归理论
和方法,建立支持向量机的预测模型,并利用winSVM 和MATLAB 软件进行了实例预测,与二次回归
预测值相比较,支持向量机预测模型具有更好的预测精度,且有很强的推广能力。-Support vector regression data
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支持向量回归，无味卡尔曼滤波，拟合预测数据，并对含噪声的信号滤波-Support vector regression, unscented Kalman filter, fitting forecast data, and noisy signal filtering
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非线性回归用支持向量机通用MATLAB源码-Support Vector Machine for Nonlinear Regression
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Support Vector Regression Implementation
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Least square Support vector regression
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（成品）果蝇优化支持向量回归在陆生来台就读意愿的研究-Study on the optimal support vector regression (Cheng Pin) for the study of the students willingness to study in Taiwan
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这个是用SMO算法做的支持向量回归程序，语言是JAVA-This is done using the SMO support vector regression algorithm, language is JAVA
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支持向量回归是一种重要的预测技术，通过实现支持向量回归可以预测未来数据-support vector regression is an important prediction technique,we can predict future data by implementing support vector regression
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本程序是实现遗传支持向量机（SVM）的回归拟合，以混凝土的抗压测试为例，具有很好的学习价值。-This program is a genetic support vector machine (SVM) regression fit to the concrete compression test, for example, having a great learning value.
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SVM本身是针对经典的二分类问题提出的，支持向量回归机（Support Vector Regression，SVR）是支持向量在函数回归领域的应用(SVM itself is proposed for the classical two classification problem. Support Vector Regression (SVR) is the application of support vector in the field of function regression)
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使用粒子群算法优化支持向量回归，实现预测功能(Support Vector Regression Using Particle Swarm Optimization)
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