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libsvm-2.71

于 2008-12-11 发布文件大小:445KB

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下载积分: 1 下载次数: 7

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代码说明：

一个计算线性支持向量机的matlab源代码，台湾人编写，在c环境下运行(A calculation of the linear support vector machine matlab source code, the people of Taiwan to prepare, in the c environment running)

文件列表：

libsvm-2.71
...........\htm" target=_blank>COPYRIGHT
...........\FAQ.html
...........\htm" target=_blank>heart_scale
...........\java
...........\....\libsvm
...........\....\......\svm.java
...........\....\......\svm.m4
...........\....\......\svm_model.java
...........\....\......\svm_node.java
...........\....\......\svm_parameter.java
...........\....\......\svm_problem.java
...........\....\libsvm.jar
...........\....\Makefile
...........\....\svm_predict.java
...........\....\svm_toy.java
...........\....\svm_train.java
...........\....\test_applet.html
...........\Makefile
...........\Makefile.win
...........\python
...........\......\cross_validation.py
...........\......\easy.py
...........\......\grid.py
...........\......\Makefile
...........\......\htm" target=_blank>README
...........\......\svm.py
...........\......\svmc.i
...........\......\svmc_wrap.c
...........\......\svm_test.py
...........\......\test_cross_validation.py
...........\htm" target=_blank>README
...........\svm-predict.c
...........\svm-scale.c
...........\svm-toy
...........\.......\gtk
...........\.......\...\callbacks.cpp
...........\.......\...\callbacks.h
...........\.......\...\interface.c
...........\.......\...\interface.h
...........\.......\...\main.c
...........\.......\...\Makefile
...........\.......\...\svm-toy.glade
...........\.......\qt
...........\.......\..\Makefile
...........\.......\..\svm-toy.cpp
...........\.......\windows
...........\.......\.......\svm-toy.cpp
...........\svm-train.c
...........\svm.cpp
...........\svm.h
...........\tools
...........\.....\easy.py
...........\.....\grid.py
...........\.....\htm" target=_blank>README
...........\windows
...........\.......\python
...........\.......\......\svmc.dll
...........\.......\svmpredict.exe
...........\.......\svmscale.exe
...........\.......\svmtoy.exe
...........\.......\svmtrain.exe

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MATLABofdm
纯ofdm仿真代码，QAM调制，有注释，可运行(Pure ofdm simulation code, QAM modulation, with annotations, can run)

2010-05-24 10:20:13下载

积分：1
menu4_4
菜单的仿真，通过修改菜单可以修改自己需要修改的参数，例如PID(Simulation menu, the menu can be modified by modifying the need to modify the parameters of their own, such as PID)

2014-01-04 18:02:05下载

积分：1
PHPIDRD
说明：一个PH值的pid仿真算法，加入扰动，以及优化的控制算法(A PID simulation algorithm of pH value, adding disturbance and optimizing control algorithm)

2020-04-18 09:10:29下载

积分：1
edge-of-the-image-histogram
在MATLAB环境中得到图像的边缘直方图，这对于做此类毕业设计的人很有用。(In the MATLAB environment by the edge of the image histogram, which for those who do such useful graduation.)

2011-05-05 20:42:51下载

积分：1
RBFNN
一个小的matlab程序利用RBFNN进行函数拟合(A small matlab program using RBFNN for function fitting)

2013-12-04 06:28:58下载

积分：1
Hyperspectral-KNN-Classification-master
说明：高光谱图像分类，使用KNN分类器，进行分类。(For hyperspectral image classification, KNN classifier is used.)

2020-04-01 20:27:05下载

积分：1
Positioning_algorithm
此Matlab程序中包含两种定位算法，一种为最小二乘法，另一种为加权最小二乘法。(This Matlab program contains two location algorithm, a least-squares method, the other is weighted least squares method.)

2021-05-07 16:40:35下载

积分：1
643920nonlinearKalmanfilter
一个非线性kalman滤波源代码，借花献佛，希望对你有用。(a nonlinear Kalman Filtering source code, Jiehuaxianbi hope be useful to you.)

2007-04-18 21:18:40下载

积分：1
STATIC_ASSERT
BOOST中对于元编程中如何增加预编译的功能，并且增加了自定义输出错误码的功能。是学习元编程的很好的入门例子(BOOST how to add the function of pre compiled meta programming, and add custom output error code function. Is learning meta programming is a good example of entry)

2015-01-12 17:25:32下载

积分：1
Globalsearch_vs_GA
一个关于matlab优化工具箱GOT中的遗传算法函数（GA）和全局优化算法函数（Globalsearch）优化能力的小对比，前者寻优快，但是结果不稳定，在风电场协同有功出力优化上面甚至可能比不过传统的单个风机层面的优化。后者计算量大，耗时较长，但是每次计算结果稳定，较传统单台风机层面优化有少量的提升。Tips:1,本文风场的建模只是采用了PARK模型，实际风场的气动过程应该还要复杂一些，未经实际风场验证，权当是工程优化入门 2,单个风机层面的功率系数Cp参数来源于NREL 5MW模型，跟实际叶片气动性能有关，可靠性未知。3,这种风场级别的协同优化主要考虑尾流因而更加适用于地形较平坦的风电场。《基于风机运行参数协同设定的风电场有功出力优化》是部分由这个程序支撑的，欢迎交流。(The classical operation strategy of a wind farm works with a principle that each wind turbine converting as much aerodynamic power as available the incoming airflow. But this does not guarantee that the power converted by the whole wind farm be a maximum due to the wake effect. Unlike the conventional operation, this paper proposes the collaborative setting of the operation point of each turbine so that the overall production of the wind farm is maximized. The optimization is performed by Matlab Global Optimization Toolbox(GOT) based on a PARK wake model accompany with the area-weighted quadratic sum method. The strategy was proved applicable in many cases by sensitivity analysis. As an important side effect, the proposed method also allows decreasing the added turbulence, hence the mechanical load produced by wakes. As a consequence, the overall wind farm availability is increased. )

2016-04-26 10:50:52下载

积分：1

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