Description: 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it. Platform: |
Size: 172032 |
Author:金星 |
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Description: Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression.
It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sification and regression. It is a Matlab versi on. Platform: |
Size: 29696 |
Author:Mountain |
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Description: Matlab源代码，包括支持向量机分类算法（SVC_C，SVC_Nu）,回归算法（SVR_Epsilon，SVR_Nu）,以及One-Class算法。-Matlab source code, including support vector machine classification algorithm (SVC_C, SVC_Nu), regression algorithm (SVR_Epsilon, SVR_Nu), as well as the One-Class algorithm. Platform: |
Size: 228352 |
Author:李志 |
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Description: 一维支持向量机回归以及二维支持向量机回归-One-dimensional support vector machine regression, as well as two-dimensional support vector machine regression Platform: |
Size: 235520 |
Author:赵星 |
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Description: 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. Platform: |
Size: 73728 |
Author:Xiaojun Tang |
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Description: 这是一个关于最小二乘支持向量机的MATLAB仿真的例子，希望能给大家带来方便。-This is a least squares support vector machine on the MATLAB simulation examples, we hope that they will be convenient. Platform: |
Size: 31744 |
Author:蔡蓓蓓 |
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Description: 支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。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。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。
-Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network Platform: |
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Author:孙准 |
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Description: 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, settings and modify the kernel function within the function, the data pre-processing function externally, simple and easy to to understand, hoping to be helpful to everyone Platform: |
Size: 1024 |
Author:韩锡辉 |
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Description: 支持向量机非线性回归通用MATLAB源码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-Universal non-linear regression support vector machine MATLAB source code of this source can be used for linear regression, nonlinear regression, nonlinear function approximation, data modeling, prediction, classification and other applications Platform: |
Size: 7168 |
Author:fangcao |
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Description: ：为了提高最小二乘支持向量回归机的性能，将Morlet小波核函数引入其中，形成了最小二乘小波支
持向量回归机模型。利用待优化的参数重构模型的目标函数和约束条件，并在此基础上通过遗传算法进行参数
选择，从而提高了该模型的泛化能力。将最小二乘小波支持向量回归机应用于导弹陀螺仪的漂移趋势预测，仿真
实验结果表明了该方法的有效性和可行性，因此可以为陀螺仪的故障预报、可靠性辅助决策提供依据。-To improve the ability of least square support vector regression algorithm，a least square wavelet
support vector regression model by introducing the Morlet wavelet kernel is presented．The object function and
constraint condition are reconstructed by the parameters to be optimized．On the base of it，the model parame—
ters are optimized through genetic algorithm．As a result，the model attains the better generalization ability．
The least square wavelet support vector regression model is used tO forecast the missile gyroscope’S drift tend—
ency．The simulation experiment results indicate the feasibility and validation of the algorithm．So it can provide
basis for the gyroscope’S fault prediction and reliability aid decision． Platform: |
Size: 285696 |
Author:11 |
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Description: 基于支持向量机SVM原理，引入惩罚系数，在libsvm3.14安装包基础上实现了支持向量回归matlab编程(Based on the SVM principle of support vector machine, the penalty coefficient is introduced, and support vector regression matlab programming is implemented on the basis of libsvm3.14 installation package) Platform: |
Size: 33792 |
Author:大雨神
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