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资料

于 2019-12-22 发布
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说明：  使用支持向量机的方法来进行旋转机械故障机理的。(Support vector machine (SVM) is used to study the fault mechanism of rotating machinery.)

文件列表：

资料, 0 , 2019-12-22
资料\105.mat, 2910768 , 2019-12-17
资料\97.mat, 3903344 , 2019-12-17
资料\label.mat, 194 , 2019-12-18
资料\libsvm-3.24, 0 , 2019-12-20
资料\libsvm-3.24\COPYRIGHT, 1497 , 2019-09-11
资料\libsvm-3.24\FAQ.html, 83242 , 2019-09-11
资料\libsvm-3.24\Makefile, 732 , 2019-09-11
资料\libsvm-3.24\Makefile.win, 1135 , 2019-09-11
资料\libsvm-3.24\README, 28624 , 2019-11-26
资料\libsvm-3.24\bedroom.mat, 1358 , 2019-11-03
资料\libsvm-3.24\date.mat, 234 , 2019-11-04
资料\libsvm-3.24\heart_scale.mat, 27670 , 2019-09-11
资料\libsvm-3.24\java, 0 , 2019-12-20
资料\libsvm-3.24\java\Makefile, 659 , 2019-09-11
资料\libsvm-3.24\java\libsvm, 0 , 2019-12-20
资料\libsvm-3.24\java\libsvm\svm.java, 64412 , 2019-09-11
资料\libsvm-3.24\java\libsvm\svm.m4, 63609 , 2019-09-11
资料\libsvm-3.24\java\libsvm\svm_model.java, 868 , 2019-09-11
资料\libsvm-3.24\java\libsvm\svm_node.java, 115 , 2019-09-11
资料\libsvm-3.24\java\libsvm\svm_parameter.java, 1285 , 2019-09-11
资料\libsvm-3.24\java\libsvm\svm_print_interface.java, 87 , 2019-09-11
资料\libsvm-3.24\java\libsvm\svm_problem.java, 136 , 2019-09-11
资料\libsvm-3.24\java\libsvm.jar, 55059 , 2019-09-11
资料\libsvm-3.24\java\svm_predict.java, 5137 , 2019-09-11
资料\libsvm-3.24\java\svm_scale.java, 8937 , 2019-09-11
资料\libsvm-3.24\java\svm_toy.java, 12262 , 2019-09-11
资料\libsvm-3.24\java\svm_train.java, 8354 , 2019-09-11
资料\libsvm-3.24\java\test_applet.html, 81 , 2019-09-11
资料\libsvm-3.24\matlab, 0 , 2019-12-20
资料\libsvm-3.24\matlab\Makefile, 1097 , 2019-09-11
资料\libsvm-3.24\matlab\README, 9634 , 2019-09-11
资料\libsvm-3.24\matlab\libsvmread.c, 4060 , 2019-09-11
资料\libsvm-3.24\matlab\libsvmwrite.c, 2326 , 2019-09-11
资料\libsvm-3.24\matlab\svm_model_matlab.c, 8196 , 2019-09-11
资料\libsvm-3.24\matlab\svm_model_matlab.h, 201 , 2019-09-11
资料\libsvm-3.24\matlab\svmpredict.c, 9827 , 2019-09-11
资料\libsvm-3.24\matlab\svmtrain.c, 11817 , 2019-09-11
资料\libsvm-3.24\matlab数据库, 0 , 2019-12-20
资料\libsvm-3.24\matlab数据库\Untitled.asv, 107 , 2019-11-04
资料\libsvm-3.24\matlab数据库\Untitled.m, 200 , 2019-11-04
资料\libsvm-3.24\matlab数据库\Untitled6.m, 1187 , 2019-11-03
资料\libsvm-3.24\matlab数据库\heart_scale.mat, 28904 , 2019-11-04
资料\libsvm-3.24\matlab数据库\svm_fl.m, 2009 , 2019-11-03
资料\libsvm-3.24\matlab数据库\svm_hg.m, 3500 , 2019-11-03
资料\libsvm-3.24\matlab数据库\svm_model_matlab.c, 8196 , 2019-09-11
资料\libsvm-3.24\matlab数据库\svm_model_matlab.h, 201 , 2019-09-11
资料\libsvm-3.24\matlab数据库\svm_sl.m, 1561 , 2019-11-03
资料\libsvm-3.24\matlab数据库\svm_sl1.m, 1555 , 2019-11-04
资料\libsvm-3.24\matlab数据库\svmpredict.c, 9827 , 2019-09-11
资料\libsvm-3.24\matlab数据库\svmpredict.mexw64, 27136 , 2019-09-11
资料\libsvm-3.24\matlab数据库\svmtrain.c, 11817 , 2019-09-11
资料\libsvm-3.24\matlab数据库\syf.m, 208 , 2019-11-04
资料\libsvm-3.24\matlab数据库\zczc.mat, 7742720 , 2019-11-04
资料\libsvm-3.24\python, 0 , 2019-12-20
资料\libsvm-3.24\python\Makefile, 32 , 2019-09-11
资料\libsvm-3.24\python\README, 15888 , 2019-09-11
资料\libsvm-3.24\python\commonutil.py, 5445 , 2019-09-11
资料\libsvm-3.24\python\svm.py, 13631 , 2019-09-11
资料\libsvm-3.24\python\svmutil.py, 9524 , 2019-09-11
资料\libsvm-3.24\svm-predict.c, 5537 , 2019-09-11
资料\libsvm-3.24\svm-scale.c, 8696 , 2019-09-11
资料\libsvm-3.24\svm-toy, 0 , 2019-12-20
资料\libsvm-3.24\svm-toy\qt, 0 , 2019-12-20
资料\libsvm-3.24\svm-toy\qt\Makefile, 613 , 2019-09-11
资料\libsvm-3.24\svm-toy\qt\svm-toy.cpp, 9722 , 2019-09-11
资料\libsvm-3.24\svm-toy\windows, 0 , 2019-12-20
资料\libsvm-3.24\svm-toy\windows\svm-toy.cpp, 11460 , 2019-09-11
资料\libsvm-3.24\svm-train.c, 8985 , 2019-09-11
资料\libsvm-3.24\svm.cpp, 65136 , 2019-09-11
资料\libsvm-3.24\svm.def, 477 , 2019-09-11
资料\libsvm-3.24\svm.h, 3381 , 2019-09-11
资料\libsvm-3.24\tools, 0 , 2019-12-20
资料\libsvm-3.24\tools\README, 7031 , 2019-09-11
资料\libsvm-3.24\tools\checkdata.py, 2474 , 2019-09-11
资料\libsvm-3.24\tools\easy.py, 2696 , 2019-09-11
资料\libsvm-3.24\tools\grid.py, 15258 , 2019-09-11
资料\libsvm-3.24\tools\subset.py, 3196 , 2019-09-11
资料\libsvm-3.24\windows, 0 , 2019-12-20
资料\libsvm-3.24\windows\libsvm.dll, 265216 , 2019-09-11
资料\libsvm-3.24\windows\libsvmread.mexw64, 12800 , 2019-09-11
资料\libsvm-3.24\windows\libsvmwrite.mexw64, 12288 , 2019-09-11
资料\libsvm-3.24\windows\svm-predict.exe, 229888 , 2019-09-11
资料\libsvm-3.24\windows\svm-scale.exe, 169984 , 2019-09-11
资料\libsvm-3.24\windows\svm-toy.exe, 230912 , 2019-09-11
资料\libsvm-3.24\windows\svm-train.exe, 255488 , 2019-09-11
资料\libsvm-3.24\windows\svmpredict.mexw64, 27136 , 2019-09-11
资料\libsvm-3.24\windows\svmtrain.mexw64, 69120 , 2019-09-11
资料\libsvm-3.24\windows\新建文件夹, 0 , 2019-12-22
资料\libsvm-3.24\zczc.mat, 7742720 , 2019-11-04
资料\libsvm-3.24\数据集, 0 , 2019-12-20
资料\libsvm-3.24\数据集\forest.mat, 1338 , 2019-11-03
资料\libsvm-3.24\数据集\labelset.mat, 184 , 2019-11-03
资料\svm_12_17_1.m, 1377 , 2019-12-20

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    2007-12-27 00:47:51下载
    积分：1
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    Matlab source codes for the regularized linear discriminant analysis (R-LDA)，Author: Lu Juwei，Bell Canada Multimedia Lab, Dept. of ECE, U. of Toronto，Released in 01 November 2004 (Matlab source codes for the regularized linear discriminant analysis (R-LDA), Author: Lu Juwei, Bell Canada Multimedia Lab, Dept. Of ECE, U. of Toronto, Released in 01 November 2004)
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    THIS CODE REPRESENTS THE COMMUNICATION LATENCY OF NETWORKS
    2013-03-17 12:46:01下载
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  • Image20160331Quality
    测试以下图像信息 1。结构内容（SC） 2。均方误差（MSE） 3。峰值信噪比（PSNR值） 4。归一化互相关（NCC） 5。平均差（AD） 6。最大的差异（MD） 7。归一化绝对误差（NAE）(Image/Picture Quality Measures In this application, different image quality measures are calculated for a distorted image with reference to an original image. To test the application, a set of 20 distorted images is included in this package. The list of Image Quality measures implemented in this package include, 1. Structural Content (SC) 2. Mean Square Error (MSE) 3. Peak Signal to Noise Ratio (PSNR in dB) 4. Normalized Cross-Correlation (NCC) 5. Average Difference (AD) 6. Maximum Difference (MD) 7. Normalized Absolute Error (NAE) Refer Reference.png for the mathematical expressions implemented in this package. Original images are kept in the folder OriginalImages . Distorted images are kept in the folder DistortedImages .)
    2016-03-31 08:54:35下载
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    fit_mix_gaussian - fit parameters for a mixed-gaussian distribution using EM algorithm format: [u,sig,t,iter] = fit_mix_gaussian( X,M ) input: X - input samples, Nx1 vector M - number of gaussians which are assumed to compose the distribution output: u - fitted mean for each gaussian sig - fitted standard deviation for each gaussian t - probability of each gaussian in the complete distribution iter- number of iterations done by the function
    2011-02-09 19:05:43下载
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    说明：  music高阶谱分析算法研究，同时还包括信号维数的估计，即mdl准则的研究(high-end music spectrum analysis algorithm, but also including the signal dimension is estimated that the study criteria mdl)
    2006-04-25 22:02:56下载
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    利用自然梯度算法，构成不同频率的调制信号，包含位置式PID算法、积分分离式PID，一些自适应信号处理的算法，包括最小二乘法、SVM、神经网络、1_k近邻法,使用起来非常方便，合成孔径雷达（SAR)目标成像仿真。( Use of natural gradient algorithm, Constituting the modulated signals of different frequencies, It contains positional PID algorithm, integral separate PID, Some adaptive signal processing algorithms, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Very convenient to use, Synthetic Aperture Radar (SAR) imaging simulation target.)
    2016-03-30 20:15:51下载
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    说明：  利用DACE工具箱中高斯过程做全局优化,适用于复杂非线性模型(Surrogate model optimization algorithm for computationally expensive global optimization problems)
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    2010-07-18 21:40:44下载
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    2013-05-08 13:00:12下载
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