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txt 基本粒子群优化算法matlab源程序 .txt
基本粒子群优化算法<mark>Matlab</mark>源程序
这个程序就是最基本的粒子群优化算法程序，用<mark>Matlab</mark>实现，非常简单。只有几十行代码。正所谓一分钱一分货啊，优化效果不总是令人满意。我还有几个改进的粒子群优化算法版本，这一段时间会陆续发上来。
下面是主函数的源程序，优化函数则以m文件的形式放在fitness.m里面，对不同的优化函数只要修改fitness.m就可以了通用性很强。
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www.eeworm.com/read/159601/10636721
m fil.m
function [out]=fil(in,f);
%
% Filters the data using a first order filter
%
% [out]=fil(in,f);
%
% f is a vector containing the filter constants
%
% Updated to use MATLAB's built in filter rou
www.eeworm.com/read/159418/10651127
txt 滤波器可以是fc为200hz的低通.txt
1.在Matlab命令窗口下，键入load ('y2_b.txt'),将数据导入Matlab工作区。
2.保存工作区数据用save，重新装载用load。
www.eeworm.com/read/350990/10690656
m ip_01_01.m
% MATLAB script for Illustrative Problem 1, Chapter 1.
n=[-20:1:20];
x=abs(sinc(n/2));
stem(n,x);
www.eeworm.com/read/421852/10692538
m readme.m
This Software computes the Robust Principal Component Analysis or Robust Singular Value Decomposition
explained in the references:
REFERENCES:
De la Torre, F. and Black, M. J., Robust princip
www.eeworm.com/read/159122/10692896
txt~ readme.txt~
Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
This version was last updated on 18 January 2003.
Installation
------------
www.eeworm.com/read/159122/10692931
txt readme.txt
Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
------------
1. Install KPMtools from http://www.ai.mit.edu/~mu
www.eeworm.com/read/421516/10733241
m m4ustp.m
% M-file for the second part of Project 4 on linearized analysis
% in Chapter 6 to obtain the unit step response of the motor
% transfer function, numG/denG.
% It can only be used after the tra
www.eeworm.com/read/350382/10746021
m 7-17.m
%例程7－17 双极性归零码
%双极性归零码的MATLAB程序实现如下：
function y=drz(x) %x为二进制序列，y为编码输出
grid=100;
t=0:1/grid:length(x); %时间序列
for i=1:length(x)
www.eeworm.com/read/349916/10783406
m fil.m
function [out]=fil(in,f);
%
% Filters the data using a first order filter
%
% [out]=fil(in,f);
%
% f is a vector containing the filter constants
%
% Updated to use MATLAB's built in filter rou