登录
首页 » matlab » FastSVDD-master

FastSVDD-master

于 2021-03-08 发布
0 207
下载积分: 1 下载次数: 4

代码说明:

说明:  支持向量数据描述(Support Vector Data Description,SVDD)是一种单值分类算法,能够实现目标样本和非目标样本的区分,通常应用于异常检测和故障检测等领域。(Support vector data description (SVDD) is a single valued classification algorithm, which can distinguish target samples from non target samples. It is usually used in anomaly detection and fault detection.)

文件列表:

FastSVDD-master, 0 , 2015-05-19
FastSVDD-master\.gitignore, 27 , 2015-05-19
FastSVDD-master\Code, 0 , 2015-05-19
FastSVDD-master\Code\Ellipse, 0 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd, 0 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\computeKgm.m, 812 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\decn.png, 10354 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\ellipse.mat, 6342 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\fsvdd_predict.m, 939 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\fsvdd_train.m, 2849 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\load_data.m, 499 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\svkernel_new.m, 2573 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\Ellipse\fsvdd\test_fsvdd.m, 2788 , 2015-05-19
FastSVDD-master\Code\Ellipse\gen_data.m, 732 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd, 0 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\computeKgm.m, 812 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\data.png, 8745 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\decn.png, 10336 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\ellipse.mat, 6342 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\load_data.m, 531 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\svdd_predict.m, 1042 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\svdd_train.m, 2670 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\svkernel_new.m, 2586 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\Ellipse\svdd\test_svdd.m, 2609 , 2015-05-19
FastSVDD-master\Code\FisherIris, 0 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd, 0 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\Results.txt, 1520 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\computeKgm.m, 596 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\computeResults.m, 1616 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\computeResults_fpt.m, 1622 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\data.mat, 8326 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\fsvdd_predict.m, 939 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\fsvdd_train.m, 2849 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\fsvdd_train_fpt.m, 3419 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\load_data.m, 3962 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\svkernel_new.m, 2585 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\test_fsvdd.m, 1721 , 2015-05-19
FastSVDD-master\Code\FisherIris\fsvdd\test_fsvdd_fpt.m, 1798 , 2015-05-19
FastSVDD-master\Code\FisherIris\mlffnn, 0 , 2015-05-19
FastSVDD-master\Code\FisherIris\mlffnn\load_data.m, 4111 , 2015-05-19
FastSVDD-master\Code\FisherIris\mlffnn\mlffnn.m, 4102 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd, 0 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\Results.txt, 920 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\computeKgm.m, 612 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\computeResults.m, 1552 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\data.mat, 8326 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\iris_1.png, 5625 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\iris_2.png, 5258 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\load_data.m, 3943 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\svdd_predict.m, 1042 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\svdd_train.m, 3003 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\svkernel_new.m, 2586 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\FisherIris\svdd\test_svdd.m, 1622 , 2015-05-19
FastSVDD-master\Code\README.txt, 1087 , 2015-05-19
FastSVDD-master\Code\Wine, 0 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd, 0 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\Results.txt, 898 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\computeKgm.m, 596 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\computeResults.m, 1556 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\computeResults_fpt.m, 1583 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\fsvdd_predict.m, 939 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\fsvdd_train.m, 2855 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\fsvdd_train_fpt.m, 3786 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\load_data.m, 3271 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\svkernel_new.m, 2587 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\test_fsvdd.m, 1880 , 2015-05-19
FastSVDD-master\Code\Wine\fsvdd\test_fsvdd_fpt.m, 1943 , 2015-05-19
FastSVDD-master\Code\Wine\mlffnn, 0 , 2015-05-19
FastSVDD-master\Code\Wine\mlffnn\load_data.m, 3488 , 2015-05-19
FastSVDD-master\Code\Wine\mlffnn\mlffnn.m, 4289 , 2015-05-19
FastSVDD-master\Code\Wine\svdd, 0 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\Results.txt, 621 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\computeKgm.m, 596 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\computeResults.m, 1536 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\data.mat, 29144 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\load_data.m, 3272 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\svdd_predict.m, 1042 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\svdd_train.m, 2718 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\svkernel_new.m, 2585 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\svtol.m, 406 , 2015-05-19
FastSVDD-master\Code\Wine\svdd\test_svdd.m, 1929 , 2015-05-19
FastSVDD-master\Code\overlapping, 0 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd, 0 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\Results.txt, 2680 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\computeKgm.m, 612 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_1.png, 16694 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_1_fpt.png, 16633 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_2.png, 16192 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_2_fpt.png, 16237 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_3.png, 15679 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_3_fpt.png, 15699 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_4.png, 15479 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\decn_4_fpt.png, 15444 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\fsvdd_predict.m, 1007 , 2015-05-19
FastSVDD-master\Code\overlapping\fsvdd\fsvdd_train.m, 2931 , 2015-05-19

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • MMSE_mimo
    two path fading(qpsk) 这个是我写的关于qpsk的MIMO信道mmse的计算方法,站长帮帮忙,我现在很需要一篇<信道估计算法>(基于瑞利衰落信道的LS算法的Matlab程序),后天就要交了,救人一命胜造7级浮屠啊!(two path fading (qpsk) This is what I wrote on the MIMO qpsk Channel mmse method of calculation to get help from the head, I am now a need)
    2006-09-05 04:38:43下载
    积分:1
  • Wind-Turbine-Blockset-in-Matlab-Simulink
    Wind energy is one of the fastest growing energy and it will continue to grow around the world
    2015-03-13 19:27:28下载
    积分:1
  • MOTO(P140-P275)
    教材:电力电子和电力拖动控制系统的MATLAB仿真(P140-P275)(book about motor)
    2012-05-03 21:08:20下载
    积分:1
  • PD-gravity-compensaticontrol
    基于重力补偿的机器人控制程序,控制律设计及控制律分析(Gravity compensation based robot control program to control law design and analysis of control law)
    2014-01-01 20:53:46下载
    积分:1
  • CC2530NDK
    CC2530NDK实验1——Z-STACK SensorDemo实验(CC2530NDK Experiment 1- Z-STACK SensorDemo experiment)
    2014-01-19 20:35:37下载
    积分:1
  • shili
    自己手敲并验证的matlab 6.0实例的代码 及运行程序所得的图像结果。此部分为前20个例子。为matlab的基础部分(Their hands out and verify that the code examples matlab 6.0 and run the program from the results of the image. This part of the first 20 examples. Part of the basis for matlab)
    2009-05-13 13:45:46下载
    积分:1
  • Tp-ecoulement-du-puissance
    power system load flow
    2013-05-21 05:52:40下载
    积分:1
  • fir
    RTDX与Matlab实现基于DSP的FIR滤波器设计.pdf(RTDX and Matlab for DSP-based FIR filter design. Pdf)
    2009-05-26 17:51:19下载
    积分:1
  • REDA-Matlab
    有关于雷达信号的仿真和各种噪声的仿真以及信号的处理(There are on the radar signal simulation and various noise simulation, and signal processing)
    2013-07-25 21:46:48下载
    积分:1
  • rvbqgtis
    现代信号处理中谱估计在matlab中的使用,基于matlab GUI界面设计,合成孔径雷达(SAR)目标成像仿真,基于互功率谱的时延估计,多目标跟踪的粒子滤波器,基于分段非线性权重值的Pso算法。( Modern signal processing used in the spectral estimation in matlab, Based on matlab GUI interface design, Synthetic Aperture Radar (SAR) imaging simulation target, Based on the time delay estimation of power spectrum, Multi-target tracking particle filter, Based on piecewise nonlinear weight value Pso algorithm.)
    2016-03-03 20:28:01下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载