nn.asv

粒子群算法

% function [ output_args ] = Untitled2( input_args )
%UNTITLED2 Summary of this function goes here
%  Detailed explanation goes here

clear
% H1=xlsread('tafu.xls',1,'A1:I136');
 H1=xlsread('testy.xls',1,'A1:J60');
len=size(H1,1);
H2=H1(:,9);

delta=(max(H2)-min(H2));  %反归一
delta1=min(H2); 
%H=xlsread('tading.xls',1,'A1:H123');
  
%  
%   [b,a]= butter(5,0.8);
%   H1=filtfilt(b,a,H);

data=H1;
data=(data-ones(size(data,1),1)*min(data))./(ones(size(data,1),1)*(max(data)-min(data)));
H1=data ;

k=1;
for L=1:len

    switch L
        case 1
            A1=H1(2:len,1:8);
            B1=H1(2:len,9);
            C1=H1(1,1:8);
            D1=H1(1,9);
        case len
            A1=H1(1:len-1,1:8);
            B1=H1(1:len-1,9);
            C1=H1(len,1:8);
            D1=H1(len,9);

        otherwise
            A1=[H1(1:L-1,1:8);H1(L+1:len,1:8)];
            B1=[H1(1:L-1,9);H1(L+1:len,9)];
            C1=H1(L,1:8);
            D1=H1(L,9);


    end


    net=newrb
    [net,tr]=newrb(P,T,0.5,2);
    
    
    y= y*delta+delta1;
    x=abs(H2(L)-y)/H2(L);

    if k==1
        Y=y;
        X=x;
        D=D1;
        k=0;
    else
        Y=[Y;y];
        X=[X;x];
        D=[D;D1];
    end


end
meanerror=mean(X)
maxerror=max(X)
stderror=std(X)

   plot(H2,'r--','LineWidth',2 );

   hold on
   plot(Y,'b','linewidth',2);