登录
首页 » matlab » mseFea

mseFea

于 2010-11-12 发布 文件大小:2KB
0 235
下载积分: 1 下载次数: 12

代码说明:

  multi-view spectral learning

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

  • Boost-converter
    This simulation file is about capacitor clamped converter. enjoy it
    2014-08-10 13:18:26下载
    积分:1
  • subband
    Sub band adaptive filtering alogorhims
    2021-04-19 10:28:51下载
    积分:1
  • random1024
    说明:  s=21的s-随机交织图样代码 matlab下生成1024位图样,直接运行(s = 21 for s-random interleaver design code)
    2010-04-28 11:23:24下载
    积分:1
  • suzuki_fading
    这是一个suzuki衰落信道模型的matlab仿真,对研究信道建模很有益处(suzuki This is a fading channel simulation model of Matlab, the right channel modeling study useful)
    2021-01-12 19:28:49下载
    积分:1
  • MATLAB-and-Quartus
    本资料是以matlab与quartus软件综合开发出一个FIR数字滤波器,对硬件电路的设计有很大帮助。(This information is based on comprehensive development of the software matlab with quartus a FIR digital filter, the hardware design of the circuit of great help.)
    2011-08-10 14:46:31下载
    积分:1
  • test_data
    说明:  基于遗传算法,进而优化惩罚因子,核函数参数的的支持向量机进行分类(GA SVM classification)
    2020-06-22 02:20:01下载
    积分:1
  • 用传输矩阵的方法和Matlab技术研究光子晶体的缺陷模式
    用传输矩阵的方法和Matlab技术研究光子晶体的缺陷模式(With the transfer matrix method and Matlab research photonic crystal defect mode)
    2009-10-23 14:38:20下载
    积分:1
  • data_deal
    数据的LDA处理,降维消除冗余,自己尝试的编写的,仅供参考(LDA data processing, dimensionality reduction to eliminate redundancy, to try writing their own, and for reference only)
    2011-06-30 17:30:55下载
    积分:1
  • RDPTA
    Algorithm Given are P training pairs {X1,d1,X2,d2....Xp,dp}, where Xi is (n*1) di is (n*1) No of Categories=R. i=1,2,...P Yi= Augmented input pattern( obtained by appending 1 to the input vector) i=1,2,…P In the following, k denotes the training step and p denotes the step counter within the training cycle Step 1: c>0 , Emin is chosen, Step 2: Weights are initialized at w at small values, w is (n+1)*1. Counters and error are initialized. k=1,p=1,E=0 Step 3: The training cycle begins here. Input is presented and output computed: Y=Yp, d=dp Oi=f(wtY) for i=1,2,….R Step 4: Weights are updated: wi=wi+1/2c(di-oi)Y for i=1,2,…..R. Step 5: Cycle error is computed: E=1/2(di-oi)2+E for i=1,2,…..R. Step 6: If p<P then p=p+1,k=k+1, and go to Step 3: Otherwise go to Step 7. Step 7: The training cycle is completed. For E=0,terminate the training session. Outputs weights and k. If E>0,then E=0 ,p=1, and enter the new training cycle by going to step 3.
    2014-11-06 11:12:37下载
    积分:1
  • 辛普森
    说明:  编写定步长复化Simpson公式与变步长(自适应)复化Simpson公式的通用程序,并用变步长(自适应)复化Simpson公式计算π的近似值.(Complex Simpson formula)
    2020-12-15 12:39:13下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载