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Algorithm 的代码
gp_algorithm.m
function D=GP_Algorithm(data,tau,max_m)
% GP算法求关联维和嵌入维
%clc
%---------------------------------------------------
x=data;
X = normalize_1(x);
%---------------------------------------------------'
dis
genetic_algorithm.txt
遗传算法实例:
也是自己找来的，原代码有少许错误，本人都已更正了，调试运行都通过了的。
对于初学者，尤其是还没有编程经验的非常有用的一个文件
遗传算法实例
% 下面举例说明遗传算法 %
% 求下列函数的最大值 %
% f(x)=10*sin(5x)+7*cos(4x) x∈[0,10] %
% 将 x 的值用一个10位的二值形式表示为二值问题，一个10位的二值数 ...
genetic_algorithm.m
function D = Genetic_Algorithm(train_features, train_targets, params, region);
% Classify using a basic genetic algorithm
% Inputs:
% features - Train features
% targets - Train targets
% Para
lms_algorithm.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% lmsalgo : LMS algorithm demo
% Author : Tamer abdelazim Mellik
% Contact information :
%Department of Electrical & Comp
genetic_algorithm.m
function test_targets = Genetic_Algorithm(train_patterns, train_targets, test_patterns, params)
% Classify using a basic genetic algorithm
% Inputs:
% training_patterns - Train patterns
% tra
k_algorithm.c
#include
#include
#include
#include
int vectornum;
int vectorsize;
float * datafield;
float * tempcenter;
struct GROUP
{
mallat_algorithm.m
%%%%%%%mallat algorithm%%%%%
clc;
clear;
%%%%original signal%%%%
f=100;%%frequence
ts=1/800;%%抽样间隔
N=1:100;%%点数
s=sin(2*ts*pi*f.*N);%%源信号
figure(1)
plot(s);%%%源信号s
title('原信号');
grid on;
genetic_algorithm.m
function gaTSP
CityNum=30;
[dislist,Clist]=tsp(CityNum);
inn=100; %初始种群大小
gnmax=1000; %最大代数
pc=0.8; %交叉概率
pm=0.8; %变异概率
%产生初始种群
for i=1:inn
s(i,:)=randperm(CityNum);
end
[f,p]=ob