登录
首页 » matlab » BP-ANN

BP-ANN

于 2013-03-16 发布 文件大小:98KB
0 231
下载积分: 1 下载次数: 15

代码说明:

  BP神经网络算法MATLAB程序,神经网络在寻优方面的应用。(BP neural network algorithm MATLAB program, the application of neural network optimization.)

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

  • code_imaging
    编码信号用于目标探测的代码;编码信号用于目标探测的代码(Coded signal for target detection code encoded signal for target detection code)
    2010-07-09 21:16:33下载
    积分:1
  • wavelet
    清华大学小波分析教程 涵盖小波大部分领域 丰富实例 wavelet, matlab(Tsinghua wavelet wavelet analysis tutorial covers most areas of abundant examples of wavelet, matlab)
    2013-07-09 10:28:07下载
    积分:1
  • codePhase1
    i am doing my project in image fusion . i send the image fusion program using stationary wavelet transform. so i need image fusion program using different types of transform.
    2014-11-17 15:22:40下载
    积分:1
  • BPNN
    Back propagation neural network for blasting PPVV prediction
    2014-12-09 08:55:05下载
    积分:1
  • ica_filter
    ica_filter for signals matlab code
    2013-12-04 22:58:06下载
    积分:1
  • HeartbeatMonitor
    这是关于安卓手机端通过蓝牙采集人心电信号,然后通过解码,滤波,心电信号显示的程序文件。(This is the end of Android phones via Bluetooth signals collected people, and then decoding, filtering, ECG display program files.)
    2013-12-27 20:58:35下载
    积分:1
  • MIMOSystem
    MIMO ergodic capacity
    2014-03-05 20:46:01下载
    积分:1
  • Bomb
    用Matlab编程编程是实现的扫雷游戏,不足之处请指教(Programming with Matlab programming is to achieve the minesweeper game, shortcomings Please advise)
    2010-12-10 20:42:47下载
    积分:1
  • white_noise
    生成白噪声信号:包括采样频率,最大和最小频率,时间长度,幅值等要求的信号。(Generated white noise signal: including sampling frequency, maximum and minimum frequency, duration, amplitude and other requirements of the signal.)
    2011-08-31 14:32:12下载
    积分:1
  • fit_ML_normal
    fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u)^2)/(2*sig^2)) with parameters: u,sig^2 format: result = fit_ML_normal( x,hAx ) input: x - vector, samples with normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields sig^2,u - fitted parameters CRB_sig2,CRB_u - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML
    2011-02-09 19:09:33下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载