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Search - Matlab_svm - List
[
Other resource
]
Matlab_SVM
DL : 0
使用支持向量机对仿人感知器建模,并给出了其在不规则图形面积测量中的应用实例,附有120幅图片及其面积,前100幅用作训练,后20幅用作检验,图片文件默认路径为C:\\MATLAB7\\work\\P100,即应将文件解压到默认路径C:\\MATLAB7\\work,使用其他路径只需将程序中的图片路径替换即可。
Update
: 2008-10-13
Size
: 131.8kb
Publisher
:
胡文金
[
Software Engineering
]
支持向量机
DL : 0
matlab_SVM 视频讲解
Update
: 2011-07-31
Size
: 148.5kb
Publisher
:
yangjian_0501
[
AI-NN-PR
]
Matlab_SVM
DL : 0
使用支持向量机对仿人感知器建模,并给出了其在不规则图形面积测量中的应用实例,附有120幅图片及其面积,前100幅用作训练,后20幅用作检验,图片文件默认路径为C:\MATLAB7\work\P100,即应将文件解压到默认路径C:\MATLAB7\work,使用其他路径只需将程序中的图片路径替换即可。-The use of support vector machine perceptron on humanoid modeling, and gives the graphics area in the irregular application of measurement, accompanied by 120 images and its size, 100 for training before and after testing for 20 , the default path for the image file C: MATLAB7workP100, that should extract the files to the default path C: MATLAB7work, the use of other procedures in the path can simply replace the image path can be.
Update
: 2025-02-17
Size
: 132kb
Publisher
:
[
matlab
]
MATLAB_svm
DL : 0
关于支持向量机的MATLAB程序,用于模式识别-On the MATLAB support vector machine procedures for pattern recognition
Update
: 2025-02-17
Size
: 236kb
Publisher
:
duanlifei
[
AI-NN-PR
]
matlab_svm
DL : 0
SVM进行分类的一个实例,是用于对酒的化学成分分类的-An example of SVM classification is used for classification of chemical composition of wine
Update
: 2025-02-17
Size
: 1kb
Publisher
:
王永美
[
Special Effects
]
Matlab_SVM
DL : 0
SVM实现数据分类,可自行选取核函数,用于图像分割操作。程序可自动训练分类平面。-SVM for data classification, are free to select the kernel function,For image segmentation operation. The program can automatically train classifiers plane.
Update
: 2025-02-17
Size
: 67kb
Publisher
:
小哥
[
Software Engineering
]
matlab_SVM-chaopingmian
DL : 0
主要是描述在MATLAB中进行SVR超平面的推导过程,对于理解超平面的确定有很强的指导性-Mainly described in the MATLAB SVR hyperplane derivation process, to understand the determination of hyperplane has a strong guidance
Update
: 2025-02-17
Size
: 210kb
Publisher
:
蒋伟杰
[
AI-NN-PR
]
matlab_SVM 视频讲解_2
DL : 0
支持向量机是继神经网络之后又一研究的热点,支持向量机的泛化能力要比神经网络高。(Support vector machine (SVM) is a new direction of deep learning after neural network. Its generalization ability is much better than that of neural network)
Update
: 2025-02-17
Size
: 209kb
Publisher
:
梦蝶之盾1
[
matlab
]
Matlab_SVM
DL : 0
SVM算法实现+数据 (要用到一些包,按照代码里面的import到网站下就行) 1.读取数据:在Matlab中调用textread可读取UCI数据集,这里读取的文件是iris.data,因为文件中以逗号为分隔符,所以还要在读取方法中添加参数“‘delimiter’,‘,’”,从而在读数据的时候自动跳过分隔符。 2.调用cvx工具箱中的方法:首先需要下载cvx工具箱的压缩文件,在其目录下运行cvx_setup指令,然后调用其方法,以cvx_begin开头,cvx_end为终止符号,所有需要求解的变量以及变量大小都在variable后声明,优化目标在minimize后声明,约束条件在subject to后声明。 3.根据求出的变量ω和b来对数据进行可视化,即画出散点图和支持向量。(The realization of SVM in Matlab)
Update
: 2025-02-17
Size
: 2kb
Publisher
:
dale无双
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