登录
首页 » matlab » FastSVDD-master

FastSVDD-master

于 2021-03-08 发布
0 240
下载积分: 1 下载次数: 4
我要下载

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

  • Sumapotencias
    Sirve para calcular la intensidad de campo con el metodo de suma de potencias.
    2009-10-26 17:58:49下载
    积分：1
  • bifcuadratica
    Bifurcation Diagram of Quadratic map
    2013-01-09 14:43:23下载
    积分：1
  • matlab-program
    运用MATLAB对波形的进行最优预处理，处理以后的曲线的效果非常好 使用的时候，把TXT里面的程序复制到在MATLAB里面新建立的.MAT文件中，按F6运行(use of MATLAB waveform for the optimal pretreatment, After dealing with the effects of the curve very good use of time TXT put inside the copy of the MATLAB inside the new building. MAT document, the operation by F6)
    2007-05-27 16:03:32下载
    积分：1
  • b1
    说明：  matlab期望信号到达方向是0度，干扰方向20度，通过RLS算法画出波束成形的方向图(matlab desired signal arrival direction is 0 degrees, 20 degrees the direction of interference by the RLS algorithm to draw beamforming direction map)
    2013-09-17 09:23:37下载
    积分：1
  • PCMFM_gen
    PCM/FM信号生成函数，包含基于FM调制以及CPM调制方式，前者是利用matlab中的fm模拟频率调制方式，是对PCM/FM信号比较直观的生成方法，后者是利用CPM信号的生成方法，从相位调制的角度生成。(Here is PCM/FM signal generating function, including on CPM modulation and FM modulation, the former is the use matlab simulation frequency fm modulation method is PCM/FM signal generation method more intuitive, which is generated using the method of CPM signals, generated from the phase angle modulation.)
    2021-04-11 18:58:58下载
    积分：1
  • CHAP1_2
    matlab 但是防守对方似懂非懂是发生的发生地(matlab but the defense is the other occurrence took place Sidongfeidong)
    2011-05-11 14:34:30下载
    积分：1
  • live-load-and-deterioration-effects
    通过小波理论与回归分析提取桥梁的活载与劣化效应(Live load and deterioration effects of the bridge)
    2012-04-07 00:37:28下载
    积分：1
  • chap_5
    MATLAB从入门到精通书中第五章例子的程序(MATLAB from the entry to the master' s program book chapter examples)
    2011-11-21 21:08:55下载
    积分：1
  • DCTpcm_code
    子块DCT变换编码/帧内预测编码DPCM，基于JPEG量化矩阵的量化与反量化(block DCT encoding/decoding predictive coding DPCM. JPEG quantization matrix based on the quantitative and anti- quantization)
    2007-04-01 12:58:52下载
    积分：1
  • zxecf
    一次完成最小二乘法辨识系统程序,可以仿真(A complete system parameter identification program that can emulate)
    2014-11-20 22:18:43下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！