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Description: SVM的例子程序，使用RBF，garma值为0.5。专业人士可以参考。有搞SVM参数优化的人我们可以一起讨论-SVM example, the use of RBF, garma value of 0.5. Professional reference. SVM engage with the optimization of parameters we can discuss
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Size: 6050 |
Author: 刘国亮 |
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Description: 因其核函数的良好性态,RBF核SVM(RBF-SVM)在实际应用中表现出良好的学习性能,但是RBF核函数中的参数对SVM的性能起决定性作用.阐述了RBF-SVM的性能随着变化而变化的规律,并将RBF-SVM引入自动羽绒识别系统中.根据自动羽绒识别系统的实际需求和RBF-SVM的性能变化规律,论述了本系统中参数的选取依据和选取过程,并且给出了的相关曲线变化图.通过研究,最后得到适合本系统的识别模型,从而提高了系统的总体识别率.同时,也验证了RBF-SVM的良好特性和其受参数的约束规律.
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Size: 7827 |
Author: 苏苏 |
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Description: 用于 MATLAB 的 SVM 演示程序，直接放到程序所在目录就可工作。
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Size: 7182 |
Author: wangxunz |
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Description: 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial and several other data sets function regression and forecasting
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Size: 1483776 |
Author: 张毅 |
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Description: SVM用于模式识别
整理别人的代码（原来的是英文）所得：
kernel.m用于内积矩阵的计算
svcplot.m用于绘图
svm168.m是主程序
testlin.m是采用线形内积函数的支持向量机应用的 文件
testrbf.m是采用RBF内积函数的支持向量机应用 的 文件
每个文件中都有说明。
仿真平台matlab7.0, 仿真全部通过
将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。
打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。
-SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results.
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Size: 6144 |
Author: 郑军 |
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Description: SVM的例子程序，使用RBF，garma值为0.5。专业人士可以参考。有搞SVM参数优化的人我们可以一起讨论-SVM example, the use of RBF, garma value of 0.5. Professional reference. SVM engage with the optimization of parameters we can discuss
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Size: 6144 |
Author: 刘国亮 |
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Description: 因其核函数的良好性态,RBF核SVM(RBF-SVM)在实际应用中表现出良好的学习性能,但是RBF核函数中的参数对SVM的性能起决定性作用.阐述了RBF-SVM的性能随着变化而变化的规律,并将RBF-SVM引入自动羽绒识别系统中.根据自动羽绒识别系统的实际需求和RBF-SVM的性能变化规律,论述了本系统中参数的选取依据和选取过程,并且给出了的相关曲线变化图.通过研究,最后得到适合本系统的识别模型,从而提高了系统的总体识别率.同时,也验证了RBF-SVM的良好特性和其受参数的约束规律.
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Size: 7168 |
Author: 苏苏 |
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Description:
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Size: 7168 |
Author: wangxunz |
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Description: 实现了RBF网络，已载入训练和测试样本，可根据需要将其更换-Achieved a RBF network, has been printed in the training and test samples may be needed to replace
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Size: 13312 |
Author: 张丽 |
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Description: MATLAB中svm入门ppt介绍及程序实例介绍-Getting Started with MATLAB, and procedures of example to illustrate svm
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Size: 1672192 |
Author: 陈文军 |
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Description: 支持向量机 最小二乘支持向量机 matlab ls-svmlab SVM matlab matlab工具 matlab 支持向量机 svm LS-SVMlab工具箱及示例程序-支持向量机 最小二乘支持向量机 matlab ls-svmlab SVM matlab matlab工具 matlab 支持向量机 svm LS-SVMlab工具箱及示例程序
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Size: 4076544 |
Author: 黄涛 |
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Description: 向量机算法中的核函数 向量机算法中的核函数-SVM kernel function
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Size: 1024 |
Author: lsxk |
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Description: 基于RBF径向基核函数实现SVM支撑矢量机算法，-SVM algorithm based on RBF kernel
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Size: 1024 |
Author: Shirly |
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Description: 此为径向基资料，，对RBF神经网络的结构和原理进行了详细的说明，，对RBF编程很有帮助-This is the radial basis information on the RBF neural network structure and principle of the detailed description of RBF programming helpful
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Size: 1128448 |
Author: 邓志勇 |
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Description: SVM-RBF演示程序直接放到matlab command窗口运行就可以了-SVM-RBF demo program directly into the matlab command window to run on it
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Size: 7168 |
Author: 王孔峰 |
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Description: 基于RBF核函数的最小二乘支持向量机演示程序，对学习支持向量机有帮助-Based on RBF kernel functions, the least squares support vector machine (SVM) demo application to the study of support vector machine have help
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Size: 7168 |
Author: 熊楠 |
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Description: 由于遗传算法具有隐含的并行性和强大的全局搜索能力,可以在很短的时间内搜索到全局最优点。使用GA对SVM进行参数的优化,寻找最优的惩罚因子和SVM中RBF参数的组合。结合RBF参数r和惩罚因子C, 可以得到需要优化的参数组合。希望对大家有用！-Genetic algorithm with implicit parallelism and powerful global search capability, you can search within a very short period of time to the global optimum. GA parameter optimization of SVM, to find the optimal penalty factor and SVM RBF parameter combinations. Combination of the the RBF parameters of r and the penalty factor C, can be a combination of parameters that need to be optimized. I hope useful for all of us!
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Size: 8192 |
Author: 张琪 |
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Description: 一个SVM的demo，RBF demo matlab程序,运行demo.m即可-A demo RBF, demo matlab SVM program, running demo.m can be
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Size: 5120 |
Author: zcwl |
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Description: Perform SVM and test results
a) For now, assume that the main script is grid_search.IT performs a grid search for SVM using RBF kernel , for the 2 parameters C and gamma .Criterios for choosing the right values is the F1 score and accuracy of the classifier. b) Having choosen the right parameters , the next step is to convert binary values to probabilities.
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Size: 10240 |
Author: sami2423
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Description: This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related theory, combined with the BP neural network, RBF neural network, SVM
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Size: 4228096 |
Author: SALMI |
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