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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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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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支持向量机和BP神经网络都可以用来做非线性回归拟合,但它们的原理是不相同的,支持向量机基于结构风险最小化理论,普遍认为其泛化能力要比神经网络的强。大量仿真证实,支持向量机的泛化能力强于BP网络,而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合-Support vector machines and BP neural network can be used for non-linear regression f
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lssvm
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
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matlab开发工具箱中的支持向量机,ML法能够很好的估计信号的信噪比,进行逐步线性回归。- matlab development toolbox support vector machine, ML estimation method can be a good signal to noise ratio, Stepwise linear regression.
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