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OnlineSVR

于 2021-04-23 发布 文件大小:60KB
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代码说明：

  在线的SVR实现，Matlab版本实现。(Online SVR, matlab version.)

文件列表：

OnlineSVR, 0 , 2018-04-08
OnlineSVR\Example.m, 1846 , 2007-04-03
OnlineSVR\Iterations.txt, 521 , 2018-04-08
OnlineSVR\Matlab_2006b_OnlineSVR_Reference_Manual.pdf, 27662 , 2018-04-08
OnlineSVR\@OnlineSVR, 0 , 2016-01-29
OnlineSVR\@OnlineSVR\set.m, 2569 , 2007-04-03
OnlineSVR\@OnlineSVR\get.m, 2129 , 2007-04-03
OnlineSVR\@OnlineSVR\display.m, 548 , 2007-04-03
OnlineSVR\@OnlineSVR\WarmTrain.m, 2171 , 2007-02-25
OnlineSVR\@OnlineSVR\VerifyKKTConditions.m, 2598 , 2007-04-03
OnlineSVR\@OnlineSVR\Unlearn.m, 9833 , 2007-04-03
OnlineSVR\@OnlineSVR\Train.m, 2594 , 2010-09-03
OnlineSVR\@OnlineSVR\TimeToString.m, 1664 , 2006-12-01
OnlineSVR\@OnlineSVR\SupportSetElementsNumber.m, 586 , 2007-04-03
OnlineSVR\@OnlineSVR\Stabilize.m, 1864 , 2007-06-13
OnlineSVR\@OnlineSVR\ShowVariations.m, 2546 , 2007-03-28
OnlineSVR\@OnlineSVR\ShowUsage.m, 3458 , 2007-04-03
OnlineSVR\@OnlineSVR\ShowMessage.m, 1029 , 2006-12-01
OnlineSVR\@OnlineSVR\ShowInfo.m, 1291 , 2007-03-28
OnlineSVR\@OnlineSVR\ShowDetails.m, 2382 , 2007-04-03
OnlineSVR\@OnlineSVR\SIGN.m, 601 , 2007-03-28
OnlineSVR\@OnlineSVR\RemoveSampleFromR.m, 1097 , 2006-12-01
OnlineSVR\@OnlineSVR\RemainingSetElementsNumber.m, 592 , 2007-04-03
OnlineSVR\@OnlineSVR\Q.m, 778 , 2007-03-28
OnlineSVR\@OnlineSVR\Predict.m, 730 , 2007-03-28
OnlineSVR\@OnlineSVR\OnlineSVR.m, 2960 , 2007-03-28
OnlineSVR\@OnlineSVR\NotSupportSetIndexes.m, 616 , 2007-04-03
OnlineSVR\@OnlineSVR\NotSupportSetElementsNumber.m, 597 , 2007-04-03
OnlineSVR\@OnlineSVR\MatrixToString.m, 869 , 2006-12-01
OnlineSVR\@OnlineSVR\Margin.m, 649 , 2007-03-28
OnlineSVR\@OnlineSVR\Learn.m, 7933 , 2007-04-02
OnlineSVR\@OnlineSVR\Kernel.m, 1881 , 2006-12-01
OnlineSVR\@OnlineSVR\IsEquals.m, 695 , 2006-12-01
OnlineSVR\@OnlineSVR\IsContained.m, 730 , 2006-12-01
OnlineSVR\@OnlineSVR\INDEXOF.m, 705 , 2007-06-13
OnlineSVR\@OnlineSVR\Forget.m, 2760 , 2007-04-03
OnlineSVR\@OnlineSVR\FindVariationsLs.m, 2825 , 2007-06-13
OnlineSVR\@OnlineSVR\FindVariationsLr.m, 1917 , 2007-06-12
OnlineSVR\@OnlineSVR\FindVariationsLe.m, 2350 , 2007-06-13
OnlineSVR\@OnlineSVR\FindVariationLc2.m, 853 , 2007-06-12
OnlineSVR\@OnlineSVR\FindVariationLc1.m, 1031 , 2016-01-21
OnlineSVR\@OnlineSVR\FindVariationLc.m, 599 , 2006-12-01
OnlineSVR\@OnlineSVR\FindUnlearningMinVariation.m, 2161 , 2007-04-03
OnlineSVR\@OnlineSVR\FindSolution.m, 6349 , 2007-04-03
OnlineSVR\@OnlineSVR\FindLearningMinVariation.m, 2288 , 2007-06-13
OnlineSVR\@OnlineSVR\FindBetaAndGamma.m, 1235 , 2007-03-28
OnlineSVR\@OnlineSVR\ErrorSetElementsNumber.m, 582 , 2007-04-03
OnlineSVR\@OnlineSVR\CONTAINS.m, 712 , 2007-06-13
OnlineSVR\@OnlineSVR\BuildVideo.m, 1902 , 2007-04-02
OnlineSVR\@OnlineSVR\BuildPlot.m, 5640 , 2007-04-03
OnlineSVR\@OnlineSVR\AddSampleToR.m, 1807 , 2007-03-28

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    离散傅里叶变换对于FDTD计算程序很有用( an algorithm resistant to print/scan process is proposed , which is based on block discrete fourier transform)
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    利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)
    2014-01-20 22:14:03下载
    积分：1
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    使用matlab软件进行的移相全桥仿真研究恒压（闭环）控制模式(Carried out using matlab software simulation of phase-shifted full-bridge constant voltage (closed loop) control mode)
    2010-11-29 11:28:25下载
    积分：1
  • 2
    说明：  是关于用matlab在单站无源定位中的仿真应用，通过一篇论文来详细说明(Is about using matlab simulation applications in a single station passive location through a paper to detail)
    2014-01-05 17:20:50下载
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    本文是music算法的一种改进，其具有更好的性能，以及能够满足大多数用户的需求，希望会给大家带来方便(This article is a modified music algorithm, which has better performance, and the ability to meet the needs of most users, I hope we will bring convenience)
    2014-01-19 21:37:16下载
    积分：1
  • shuju.xls
    性指标的价值函数达到最小。FCM与HCM的主要区别在于FCM用模糊划分，使得每个给定数据点用值在0，1间的隶属度来确定其属于各个组的程度。与(indicators of the value of minimizing function. HCM FCM with the main difference is fuzzy FCM, broken down to make each set of data points with the value 0, one of the membership to determine its belong to the group level. And)
    2007-06-15 15:58:01下载
    积分：1
  • SPWM_dianliuyuce
    三相PWM整流电流预测仿真。。。。。。。。。。。。。。。(PWM matlab)
    2015-03-24 13:53:01下载
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    积分：1
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