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GLCM-SVM-master

于 2020-07-27 发布
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说明：  支持向量机（Support Vector Machine, SVM）是一类按监督学习（supervised learning）方式对数据进行二元分类的广义线性分类器（generalized linear classifier），其决策边界是对学习样本求解的最大边距超平面（maximum-margin hyperplane）(Support Vector Machine, SVM)

文件列表：

GLCM-SVM-master, 0 , 2019-05-18
GLCM-SVM-master\.gitattributes, 31 , 2019-05-18
GLCM-SVM-master\README.md, 3498 , 2019-05-18
GLCM-SVM-master\assets, 0 , 2019-05-18
GLCM-SVM-master\assets\1555226757177.png, 29571 , 2019-05-18
GLCM-SVM-master\assets\1555226955414.png, 13441 , 2019-05-18
GLCM-SVM-master\src, 0 , 2019-05-18
GLCM-SVM-master\src\GlCM_IP.m, 5146 , 2019-05-18
GLCM-SVM-master\src\SVMdemo.m, 1556 , 2019-05-18
GLCM-SVM-master\src\classifySample, 0 , 2019-05-18
GLCM-SVM-master\src\classifySample\a1.jpg, 19453 , 2019-05-18
GLCM-SVM-master\src\classifySample\a2.jpg, 26864 , 2019-05-18
GLCM-SVM-master\src\classifySample\a3.jpg, 30689 , 2019-05-18
GLCM-SVM-master\src\classifySample\a4.jpg, 12996 , 2019-05-18
GLCM-SVM-master\src\classifySample\b1.jpg, 6564 , 2019-05-18
GLCM-SVM-master\src\classifySample\b2.jpg, 32397 , 2019-05-18
GLCM-SVM-master\src\classifySample\b3.jpg, 4544 , 2019-05-18
GLCM-SVM-master\src\classifySample\b4.jpg, 47966 , 2019-05-18
GLCM-SVM-master\src\contrastShow.m, 168 , 2019-05-18
GLCM-SVM-master\src\demo.m, 4133 , 2019-05-18
GLCM-SVM-master\src\imgFiles, 0 , 2019-05-18
GLCM-SVM-master\src\imgFiles\p1.jpg, 21210 , 2019-05-18
GLCM-SVM-master\src\imgFiles\p2.jpg, 35998 , 2019-05-18
GLCM-SVM-master\src\imgFiles\p3.jpg, 27319 , 2019-05-18
GLCM-SVM-master\src\imgFiles\p5.jpg, 124558 , 2019-05-18
GLCM-SVM-master\src\img_process_fuc.m, 3523 , 2019-05-18
GLCM-SVM-master\src\libsvm, 0 , 2019-05-18
GLCM-SVM-master\src\libsvm\COPYRIGHT, 1497 , 2019-05-18
GLCM-SVM-master\src\libsvm\FAQ.html, 83087 , 2019-05-18
GLCM-SVM-master\src\libsvm\Makefile, 732 , 2019-05-18
GLCM-SVM-master\src\libsvm\Makefile.win, 1136 , 2019-05-18
GLCM-SVM-master\src\libsvm\README, 28644 , 2019-05-18
GLCM-SVM-master\src\libsvm\heart_scale, 27670 , 2019-05-18
GLCM-SVM-master\src\libsvm\java, 0 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\Makefile, 659 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\libsvm.jar, 55185 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\libsvm, 0 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\libsvm\svm.java, 64242 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\libsvm\svm.m4, 63439 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\libsvm\svm_model.java, 868 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\libsvm\svm_node.java, 115 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\libsvm\svm_parameter.java, 1288 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\libsvm\svm_print_interface.java, 87 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\libsvm\svm_problem.java, 136 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\svm_predict.java, 4950 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\svm_scale.java, 8944 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\svm_toy.java, 12269 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\svm_train.java, 8355 , 2019-05-18
GLCM-SVM-master\src\libsvm\java\test_applet.html, 81 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab, 0 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\Makefile, 1240 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\README, 9826 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\libsvmread.c, 4063 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\libsvmread.mexw64, 10752 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\libsvmwrite.c, 2341 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\libsvmwrite.mexw64, 9728 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\make.m, 888 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\svm_model_matlab.c, 8205 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\svm_model_matlab.h, 201 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\svmpredict.c, 9820 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\svmpredict.mexw64, 24064 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\svmtrain.c, 11818 , 2019-05-18
GLCM-SVM-master\src\libsvm\matlab\svmtrain.mexw64, 62464 , 2019-05-18
GLCM-SVM-master\src\libsvm\python, 0 , 2019-05-18
GLCM-SVM-master\src\libsvm\python\Makefile, 32 , 2019-05-18
GLCM-SVM-master\src\libsvm\python\README, 11908 , 2019-05-18
GLCM-SVM-master\src\libsvm\python\svm.py, 9603 , 2019-05-18
GLCM-SVM-master\src\libsvm\python\svmutil.py, 8695 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-predict.c, 5536 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-scale.c, 8539 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy, 0 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\gtk, 0 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\gtk\Makefile, 573 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\gtk\callbacks.cpp, 10308 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\gtk\callbacks.h, 1765 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\gtk\interface.c, 6457 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\gtk\interface.h, 203 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\gtk\main.c, 398 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\gtk\svm-toy.glade, 6402 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\qt, 0 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\qt\Makefile, 434 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\qt\svm-toy.cpp, 9744 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\windows, 0 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-toy\windows\svm-toy.cpp, 11503 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm-train.c, 8986 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm.cpp, 65129 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm.def, 477 , 2019-05-18
GLCM-SVM-master\src\libsvm\svm.h, 3382 , 2019-05-18
GLCM-SVM-master\src\libsvm\tools, 0 , 2019-05-18
GLCM-SVM-master\src\libsvm\tools\README, 7033 , 2019-05-18
GLCM-SVM-master\src\libsvm\tools\checkdata.py, 2479 , 2019-05-18
GLCM-SVM-master\src\libsvm\tools\easy.py, 2699 , 2019-05-18
GLCM-SVM-master\src\libsvm\tools\grid.py, 15316 , 2019-05-18
GLCM-SVM-master\src\libsvm\tools\subset.py, 3202 , 2019-05-18
GLCM-SVM-master\src\libsvm\windows, 0 , 2019-05-18
GLCM-SVM-master\src\libsvm\windows\libsvm.dll, 259072 , 2019-05-18
GLCM-SVM-master\src\libsvm\windows\libsvmread.mexw64, 14336 , 2019-05-18
GLCM-SVM-master\src\libsvm\windows\libsvmwrite.mexw64, 13312 , 2019-05-18
GLCM-SVM-master\src\libsvm\windows\svm-predict.exe, 212992 , 2019-05-18
GLCM-SVM-master\src\libsvm\windows\svm-scale.exe, 165888 , 2019-05-18

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  • spso
    保证全局收敛的随机微粒群算法。当最优粒子的解无进化，则对其位置、速度进行变异，而使算法不致过早收敛，只要迭代次数足够，算法保证全局收敛。(ensure global convergence of random particle swarm algorithm. When the optimal solution without particles of evolution, its location, speed variation, which might not premature convergence algorithm, as long as sufficient number of iterative algorithm to ensure global convergence.)
    2005-04-16 15:59:53下载
    积分：1
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    掌握功率谱估计的方法,分别产生两个零均值的白噪声数据 1 u n 和  2 u n ， 其功率都为 2 0.12 u   ，让  1 u n 和  2 u n 分别通过一个FIR 系统，得到输出为  1 v n 和  2 v n 。(Master power spectrum estimation method)
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    2011-05-17 22:45:27下载
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    全球逆变器的领路人，此资料主要提供了其详细的应用及相应的主要事项。(The global inverter Leading this data provides a detailed application and corresponding major issues.)
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    在此建立了车辆悬架的模拟模型，并对其进行了仿真研究(In this paper, the simulation model of vehicle suspension is established and simulated.)
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    2014-09-05 13:06:16下载
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  • exercise319a
    (MATLAB) On the companion website, you will find in the directory Chap exercises/chapter3 a workspace ex3M2.mat. In this workspace, you will find waveforms of the words “we” and “be” (at 10000 samples/s) in the array we be 10k. The waveforms and a spectrogram of the waveforms are shownin Figure 3.33. To display the spectrogram andwaveform, use the function specgram ex3p19.m also in Chap exercises/chapter3. To listen to the waveform, use the MATLAB function sound.m.
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