登录
首页 » matlab » neural-MLP-classifier

neural-MLP-classifier

于 2013-08-11 发布 文件大小:232KB
0 221
下载积分: 1 下载次数: 31

代码说明:

  this program helps you simulate the classification task whit MLP (multilayer preceptron) neural network

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

  • 2Dsource
    基2 fft 的c++实现,改自matlab。(fft)
    2009-03-30 11:24:33下载
    积分:1
  • DiscontinuousNakagami
    this is useful for nakagami random process generation
    2012-11-22 14:55:52下载
    积分:1
  • MATLAB
    关于MATLAB交通仿真的实现,对于写这方面毕业论文的同学有帮助。(Traffic simulation on the MATLAB implementation of this thesis for the students to write helpful.)
    2010-12-29 01:17:11下载
    积分:1
  • TickErrObsData
    粗差剔除程序,采用多项式拟合的方法对时间序列中的粗差进行剔除(Excluding gross error process, using polynomial fitting method of time series of gross errors culling)
    2020-10-15 09:17:30下载
    积分:1
  • MATLABcPP
    MATLAB与c++混编的案例代码,可运行,是学习的好例子(MATLAB and c++ mixed case code can be run, is a good example of learning)
    2014-01-29 17:41:01下载
    积分:1
  • med2d
    一种基于最小熵反褶积( ]8+83)3 6+D*(A4 Q20(+W(-)D8(+,]6Q) 的滚动轴承故障特征提取方法: 在利用 /X 模型去除齿轮啮合产生的确定性信号的基础上,对保留信号进行最小熵反褶积,增强冲击信号"该方法避免了传统轴承故障诊断方法中带通滤波器设计的难题,实车测试表明: 与共振解调技术相比,该方法提取的滚动轴承故障特征更加明显,更适合于工程应用"(Based on minimum entropy deconvolution (] 8+83) 3 6+D* (A4 Q20 (+W (-) D8 (+,] 6Q)' s fault feature extraction method: using/X model to remove the uncertainty generated signal gear on the basis of the retention signal minimum entropy deconvolution, and enhance the impact of signal " This method avoids the problems of traditional bearing fault diagnosis method of the bandpass filter design, real vehicle test showed that: compared with the resonance demodulation technology, which fault feature extraction method is more obvious, more suitable for engineering applications. " )
    2020-12-04 22:49:24下载
    积分:1
  • NOMA-OFDMA-SIM
    NOMA SIMUALATION in Matlab
    2021-03-05 07:59:31下载
    积分:1
  • wok
    说明:  基本的一百个matlab源程序分享,欢迎下载,一一分享,(language of matlab important)
    2010-03-18 19:16:29下载
    积分:1
  • amethodforimagefusion
    文中的方法是把图像分块,小波分解得到低频分量、高频分量,然后计算每一块的对比度,把图像块划分为清晰块、模糊块,把清晰块和模糊块相邻的区域定义为边界区域,融合时,直接选取清晰块作为融合后的相应块,对于边界区域,在小波分解的基础上采用基于对比度的像素选取的方法进行处理。(Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then calculate the contrast of each piece, the image block is divided into clear blocks, fuzzy block, to clear blocks and fuzzy block is defined as the border region adjacent to area, integration time, a clear block directly select the corresponding block as a fusion, for the border region, the wavelet decomposition on the basis of the pixel-based contrast method selected for processing.)
    2020-06-25 22:40:02下载
    积分:1
  • mykmeans
    k-means算法 算法算法 算法算法 算法算法 算法算法 算法算法(k-means algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm)
    2012-07-31 17:24:31下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载