登录
首页 » matlab » model_set1

model_set1

于 2006-11-17 发布 文件大小:2KB
0 104
下载积分: 1 下载次数: 219

代码说明:

  以matlab编写的pi-sigma模糊神经网络程序(to Matlab prepared by the pi-sigma FNN procedures)

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

  • weiyi
    分岔图程序,有关位移方面的,很实用,可下载参考。(The bifurcation diagram of procedure, the displacement of aspects, very practical, you can download the reference.)
    2021-03-20 15:29:18下载
    积分:1
  • FIR低通滤波器
    加汉宁窗的低通滤波器,做出干扰信滤波前后的时域图和频谱图(Low-pass filter with Hanning window is used to make time-domain and frequency-spectrum diagrams before and after interference signal filtering.)
    2020-06-20 07:40:01下载
    积分:1
  • sobeledgedetection
    Sobel Edge Dectection figure
    2009-06-19 20:41:04下载
    积分:1
  • romp
    实现压缩感知的快速重构算法!算法简单易于实现(Reconstruction from partial Fourier data )
    2012-04-11 16:05:44下载
    积分:1
  • Phase-estimator
    一篇berkeley大学Master论文 "An Acoustic Digital Anemometer"附带程序,Phase estimator Matlab script (a berkeley University Master's thesis on "An Acoustic Digit al Anemometer "incidental proceedings, Phase estimator Matlab script)
    2007-06-12 08:36:16下载
    积分:1
  • eemdtz
    此文件包含着EEMD的能量特征分量的计算程序和EEMD之后进行各个IMF的KL散度指的计算程序。(This file contains the energy characteristic component EEMD computational procedures and after each EEMD KL divergence refers to the IMF s calculation program.)
    2013-09-20 18:25:25下载
    积分:1
  • matlabchengxu
    基于二维图像进行三维重建效果还可以,经测试误差较大(Two dimensional image reconstruction effect is also can be based on, after testing error)
    2013-08-03 19:23:21下载
    积分:1
  • FastICA_25-1
    Independetn component analysis
    2011-06-05 11:11:00下载
    积分:1
  • SVDAND_PCA
    奇异值与主成分分析(PCA)的介绍,比较简明易懂,对初学人大有帮助(SVDAND PCA,HOPE TO HELP YOU,IF YOU HAVE SOME QUESTION ASK ME)
    2012-07-27 10:44:01下载
    积分:1
  • A-Bayesian-Adaptive-Basis-Algorithm-for-Single-Pa
    Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis adapts to the data, the reconstruction resolution and signal-to-noise ratio (SNR) is improved compared to a reconstruction with a fixed basis. Moreover, the algorithm automatically masks the particle, thereby separating it from the background. This eliminates the need for ad-hoc filtering or masking in the refinement loop. The algorithm is formulated in a Bayesian maximum-a-posteriori framework and uses an efficient optimization algorithm for the maximization. Evaluations using simulated and actual cryogenic electron microscopy data show resolution and SNR improvements as well as the effective masking of particle from background
    2013-04-05 22:04:51下载
    积分:1
  • 696518资源总数
  • 104349会员总数
  • 32今日下载