登录
首页 » matlab » MATLAB65assann

MATLAB65assann

于 2008-05-01 发布 文件大小:6571KB
0 209
下载积分: 1 下载次数: 11

代码说明:

  MATLAB 6_5 辅助神经网络分析与设计 飞思科技 电子工业出版社(MATLAB 6_5-assisted neural network analysis and design of fly Synopsys Publishing House of Electronics Industry)

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

  • MATLAB-mopso
    文件包内附有源码及相关MATLAB的介绍PPT(about MOPSO and BASED-on MATLAB)
    2020-12-09 15:49:20下载
    积分:1
  • initializega
    遗传算法函数initializega,2010a以后需要手动载入。(The Genetic Algorithm function of Initializega.)
    2021-03-23 15:59:15下载
    积分:1
  • sensorless_MRAS
    这是一个异步电机无速度传感器的矢量控制仿真模型,其中转速辨识用的是模型参考自适应法。(This is an asynchronous motor vector control without speed sensor simulation model, which is used to identify the speed model reference adaptive method.)
    2021-05-07 16:46:36下载
    积分:1
  • Nativeappdemo
    native application的一个demo,可以象chkdsk那样运行(native application of a demo, can occur as did running)
    2007-02-01 13:22:43下载
    积分:1
  • arburg
    功率谱估计的arburg算法,估计效果非常好,欢迎下载(Arburg power spectrum estimation algorithm, the estimated effect is very good, welcome to download)
    2014-12-09 10:32:07下载
    积分:1
  • exercise3
    deflection of a beam
    2013-05-08 00:24:53下载
    积分:1
  • symbolic-computation-MATLAB-2010a
    MATLAB 2010a中的符号计算的入门与讲解(Entry and explain the symbolic computation in MATLAB 2010a)
    2012-11-22 00:31:41下载
    积分:1
  • ARMA
    matlab代码关于ARMA时间序列模型(matlab code for ARMA time series model)
    2011-09-01 13:39:21下载
    积分:1
  • guangfudianchi
    MATLAB/simulink光伏电池建模!!!!(Photovoltaic cell modeling)
    2019-04-14 18:32:50下载
    积分:1
  • zhaoxiaopu
    位置指令为幅值为1.0的阶跃信号,r(k)=1.0。网络结构为1-4-1,高斯函数的参数值取Cj=[-2 -1 1 2]T ,B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30,α=0.05 。PID控制各参数的初RBF网络控制,被控对象为G(s)= 取采样时间为1ms,采用Z变换进行离散化,离散化后的被控对象为 y(k)=-den(2)*y(k-1)-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为,kp=20, kd=0.3, ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)
    2013-07-22 21:20:28下载
    积分:1
  • 696516资源总数
  • 106658会员总数
  • 16今日下载