這是利用GP算法實現(xiàn)混沌時間序列關(guān)聯(lián)維的求解
這個程序我也有，可是我不知道怎么用？從哪里開始讀取數(shù)據(jù)啊？ 
這是一個運算的function，數(shù)據(jù)(data)的導(dǎo)入需要你自己寫程序讀入或者以其他方式獲取
在網(wǎng)上查混沌時間序列數(shù)據(jù)，在國外的網(wǎng)站上有，下面就是一個 

附件: [data] Z001.txt (2006-11-8 12:22, 17.02 K)
該附件被下載次數(shù) 8



function [ln_r,ln_C]=G_P(data,N,tau,min_m,max_m,ss)
% the function is used to calculate correlation dimention with G-P algorithm
% data:the time series
% N: the length of the time series
% tau: the time delay
% min_m:the least embedded dimention m
% max_m:the largest embedded dimention m
% ss:the stepsize of r
%skyhawk
for m=min_m:max_m
Y=reconstitution(data,N,m,tau);%reconstitute state space
M=N-(m-1)*tau;%the number of points in state space
for i=1:M-1
for j=i+1:M
d(i,j)=max(abs(Y(:,i)-Y(:,j)));%calculate the distance of each two 
end %points in state space
end
max_d=max(max(d));%the max distance of all points
d(1,1)=max_d;
min_d=min(min(d));%the min distance of all points
delt=(max_d-min_d)/ss;%the stepsize of r
for k=1:ss
r=min_d+k*delt;
C(k)=correlation_integral(Y,M,r);%calculate the correlation integral
ln_C(m,k)=log(C(k));%lnC(r)
ln_r(m,k)=log(r);%lnr
fprintf('%d/%d/%d/%d\n',k,ss,m,max_m);
end
plot(ln_r(m,:),ln_C(m,:));
hold on;
end
fid=fopen('lnr.txt','w');