testknn.asv

粒子群算法

function [y] = testKNN(T,A1,C1)
%UNTITLED2 Summary of this function goes here
%  Detailed explanation goes here

      max_ev =15;  %选择主元个数
      rbf_var = 0.5;  %髙斯函数的参数
      cov_size=size(A1,1);     %样本个数
      for i=1:cov_size,    %得到K
          for j=i:cov_size,
              K(i,j) = exp(-norm(A1(i,:)-A1(j,:))^2/rbf_var);
              K(j,i) = K(i,j);
          end
      end
      unit = ones(cov_size, cov_size)/cov_size;
      % centering in feature space!
      K_n = K - unit*K - K*unit + unit*K*unit;

      [evecs,evals] = eig(K_n);
     % A2=evecs;
      evals = real(diag(evals));
      for i=1:cov_size,
          evecs(:,i) = evecs(:,i)/(sqrt(evals(i)));   
      end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
      test_num=size(A1,1);

      unit_test = ones(test_num,cov_size)/cov_size;
      K_test = zeros(test_num,cov_size);
      for i=1:test_num,
          for j=1:cov_size,
              K_test(i,j) = exp(-norm(A1(i,:)-A1(j,:))^2/rbf_var);
          end
      end
      K_test_n = K_test - unit_test*K - K_test*unit + unit_test*K*unit;
      test_features = zeros(test_num, max_ev);
      test_features = K_test_n * evecs(:,1:max_ev);
      A2=test_features;


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
      test_num=size(C1,1);
      unit_test = ones(test_num,cov_size)/cov_size;
      K_test = zeros(test_num,cov_size);
      for i=1:test_num,
          for j=1:cov_size,
              K_test(i,j) = exp(-norm(C1(i,:)-A1(j,:))^2/rbf_var);
          end
      end
      K_test_n = K_test - unit_test*K - K_test*unit + unit_test*K*unit;
      test_features = zeros(test_num, max_ev);
      test_features = K_test_n * evecs(:,1:max_ev);
      C2=test_features;
      
      
      
    P=A2';
%     T=N';
    %     net=newrb
    %     [net,tr]=newrb(P,T,0.5,2);
    net=newrb(P,T,0.5,2);
    P=C2';
    y=sim(net,P);
    y=y';

% meanerror=mean(E)
% maxerror=max(E)
% stderror=std(E) 
    
    
% % subplot(211);
% plot(X1,y,'b','linewidth',2); 
%  hold on  
% %  subplot(212);
%  plot(X1,Y,'r--','linewidth',2);
%  hold on