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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(support vector machine)的训练识别算法程序-svm (support vector machine) training procedures Recognition Algorithm
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Size: 813056 |
Author: 李啸 |
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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: GA/SVM 程序包含三个文件：
1。MainGA12.m
2。selectGA12.m
3。svmc12.m
MainGA12.m是主文件，其余两个是被调用文件。
MainGA12.m里主要设置有关参数。
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MainGA12.m文件有关设置的说明：
12行：
host= \gatest\ ％在matlab的安装盘,例如c:\下设置的程序运行结果目录。
-GA/SVM procedures contain three documents : 1. MainGA12.m 2. SelectGA12.m 3. Svmc12.m MainGA12.m is the main document, and the remaining two documents are to be called. MainGA12.m Lane ahead of the main parameters. ===================== MainGA12.m documents relating to the installation of the : 12 line : host = \ gatest \% of the Matlab installation disk, such as c : \ set up under the procedures resulting directory.
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Size: 1673216 |
Author: 赵阳 |
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Description: 用RBF人工神经网络的智能算法,实现预测功能-with RBF ANN intelligent algorithm to achieve functional forecast
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Size: 211968 |
Author: BlueTooth |
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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.
-err
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Size: 7168 |
Author: 苏苏 |
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Description: 非常难得的adaboost程序，包括3维adaboost adaboost and rbf 等，非常适合adaboost感兴趣的初学者-Very rare AdaBoost procedures, including 3-dimensional adaboost adaboost and rbf and so on, very suitable for beginners interested in AdaBoost
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Size: 7358464 |
Author: 李 |
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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: This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.
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Size: 260096 |
Author: SUNGWOONG KIM |
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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: 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: 图像的特征用到了Dense Sift，通过Bag of Words词袋模型进行描述，当然一般来说是用训练集的来构建词典，因为我们还没有测试集呢。虽然测试集是你拿来测试的，但是实际应用中谁知道测试的图片是啥，所以构建BoW词典我这里也只用训练集。
其实BoW的思想很简单，虽然很多人也问过我，但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了，面试中也经常问到我这个问题，不知道你们都怎么用生动形象的语言来描述这个问题？
用BoW描述完图像之后，指的是将训练集以及测试集的图像都用BoW模型描述了，就可以用SVM训练分类模型进行分类了。
在这里除了用SVM的RBF核，还自己定义了一种核： histogram intersection kernel，直方图正交核。因为很多论文说这个核好，并且实验结果很显然。能从理论上证明一下么？通过自定义核也可以了解怎么使用自定义核来用SVM进行分类。-Image features used in a Dense Sift, by the Bag of Words bag model to describe the word, of course, the training set is generally used to build the dictionary, because we do not test set. Although the test set is used as the test you, but who knows the practical application of the test image is valid, so I am here to build BoW dictionary only the training set.
In fact, BoW idea is very simple, although many people have asked me, but as long as you understand how to build a dictionary and how to image map to the dictionary D up on the line, and interviews are often asked me this question, do not know you all how to use vivid language to describe this problem?
After complete description of the image with BoW, refers to the training set and test set of images are described with the BoW model, the training of SVM classification model can be classified.
Apart from having to use the RBF kernel SVM, but also their own definition of a nuclear: histogram intersection kernel, histogram
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Size: 3585024 |
Author: lipiji |
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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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Description: 本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。((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, SOM neural network, grey neural network, decision tree, random forest, wavelet neural network and NARX neural network, optimization algorithm and neural network.))
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Size: 743424 |
Author: ES1569 |
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Description: 粒子群算法优化支持向量机的惩罚参数c和rbf的参数gamma。(Particle swarm optimization (PSO) optimizes the penalty parameters c and RBF of SVM gamma.)
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Size: 14336 |
Author: 哈哈哈哈325879 |
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