Description: psotoolbox程序已经通过了测试函数，可用来进行svm或ann的参数优化
-psotoolbox process has passed the test function, can be used to carry out or ann SVM Parameter Optimization Platform: |
Size: 97280 |
Author:徐冲 |
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Description: 经典的支持向量机SVM用于分类的MATLAB程序,可用于辨识,分类和参数优化!-Classical SVM support vector machine for classification of MATLAB procedures, can be used for identification, classification and parameter optimization! Platform: |
Size: 2048 |
Author:ncepu_ly |
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Description: libsvm的参数寻优程序。针对SVR提供full gridsearch方式的参数寻优，主要用于SVM回归预测-libsvm optimization process parameters. Provide full gridsearch for SVR parameter optimization approach, mainly used for SVM regression prediction Platform: |
Size: 2048 |
Author:张瑞 |
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Description: 用遗传算法进行特征选取和svm参数优化的程序。遗传算法工具箱goat已在压缩包 需要安装libsvm就可以直接运行。数据集采用UCI中的german数据集，并完成归一化操作-Genetic algorithm with feature selection and parameter optimization svm procedures. Genetic Algorithm Toolbox in goat need to install libsvm package can be run directly. UCI data sets used in the german data set, and complete normalization operation Platform: |
Size: 139264 |
Author:覃茂运 |
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Description: 这是一个用pso优化SVM中的惩罚参数C和核参数g的MATLAB源码，简单易学-This is an optimization of SVM with the pso in the penalty parameter C and kernel parameter g of the MATLAB source code, easy to learn Platform: |
Size: 1024 |
Author:yyifang |
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Description: 利用网格搜索法对支持向量机的参数寻优的过程，通过matlab实现-Grid search method to use SVM parameter optimization process to achieve through matlab Platform: |
Size: 1024 |
Author:李 |
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Description: MATLAB代码，利用支持向量机SVM，核函数为线性核函数并进行参数寻优对数据进行分类-MATLAB code, the use of support vector machine SVM, kernel function is linear kernel parameter optimization and data classification Platform: |
Size: 2048 |
Author:huangfuhaoran |
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Description: 支持向量机的源代码，可以实现分类和回归分析。-ctions on Intelligent Systems and Technology
ABSTRACT LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
we show formulations used in LIBSVM: C-support vector classifica-tion (C-SVC), ν-support vector classification (ν-SVC), distribution estimation (one-class SVM), -support vector regression (-SVR), and ν-support vector regression
(ν-SVR). We discuss the implementation of solving quadratic problems Platform: |
Size: 623616 |
Author:guolei |
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Description: 包含优化类的几个简单示例程序，imRwnmw参数DC-DC部分采用定功率单环控制，本科毕设要求参见标准测试模型，在MATLAB中求图像纹理特征，OWpTJFr条件有信道编码，调制，信道估计等，包括最小二乘法、SVM、神经网络、1_k近邻法。- Optimization class contains several simple sample programs, imRwnmw parameter DC-DC power single-part set-loop control, Undergraduate complete set requirements refer to the standard test models, In the MATLAB image texture feature, OWpTJFr condition Channel coding, modulation, channel estimation, Including the least squares method, the SVM, neural networks, 1 _k neighbor method. Platform: |
Size: 6144 |
Author:eyjcfp |
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Search - SVM parameter optimization Matlab