登录
首页 » matlab » svc_matlab

svc_matlab

于 2012-01-27 发布 文件大小:11KB
0 116
下载积分: 1 下载次数: 109

代码说明:

  simulating of svc in malab for transient mode

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

  • hurst_exponent(matlab)
    说明:  计算hurst_exponent的matalb程序 用于检测时间序列的非线性特性(Procedures for calculating hurst_exponent of matalb time series for nonlinearity detection)
    2010-04-23 09:41:39下载
    积分:1
  • matlab003
    《Matlab软件开发应用》/Mastering Matlab配套学习PPT(The Matlab software development application/Mastering Matlab supporting learning PPT )
    2014-12-30 16:33:28下载
    积分:1
  • my_envelope
    returns the envelope of a signal. matlab code
    2009-10-20 22:54:03下载
    积分:1
  • 13
    说明:  基于MATLAB的程序..利用蚂蚁算法求解TSP问题 (MATLAB-based procedures .. use ant algorithm to solve TSP problems)
    2008-08-11 17:05:06下载
    积分:1
  • binfo
    CDMA通信系统 功率控制仿真 3G (CDMA Communication system power control simulation 3G)
    2011-05-16 19:36:38下载
    积分:1
  • ParticleEx1
    this file can be used to filter the latent state variable(used to filter the latent state variable)
    2012-04-27 01:52:48下载
    积分:1
  • matlab-code
    混合粒子群算法代码及其混合粒子群算法代码大全(Hybrid particle swarm algorithm code and its hybrid particle swarm algorithm code.)
    2013-03-14 16:39:22下载
    积分:1
  • Relevance-Vector-Machine
    说明:  相关向量机(Relevance Vector Machine,简称RVM)是Micnacl E.Tipping于2000年提出的一种与SVM(Support Vector Machine)类似的稀疏概率模型,是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的,在先验参数的结构下基于主动相关决策理论(automatic relevance determination,简称ARD)来移除不相关的点,从而获得稀疏化的模型。在样本数据的迭代学习过程中,大部分参数的后验分布趋于零,与预测值无关,那些非零参数对应的点被称作相关向量(Relevance Vectors),体现了数据中最核心的特征。同支持向量机相比,相关向量机最大的优点就是极大地减少了核函数的计算量,并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)
    2021-03-23 21:20:53下载
    积分:1
  • sin_periodgram
    自己编写的正弦函数的周期图法求功率谱密度的matlab程序,简洁明了,很容易看懂。(I have written a sine function periodogram seeking power spectral density matlab program, concise, easy read.)
    2020-07-02 08:40:01下载
    积分:1
  • nsdcalc
    Nsdcalc.m is a Matlab program for performing the image enhancement process described in the accompanying paper. Place the program in your work directory along with the demonstration data file grav.txt. At the Matlab prompt type
    2013-04-24 01:13:44下载
    积分:1
  • 696518资源总数
  • 105133会员总数
  • 27今日下载