LVQ 신경 네트워크의 분류

<span style="font-size:18px;">%%  
clear all
clc
warning off
%%  
load data.mat
a=randperm(569);
Train=data(a(1:500),:);
Test=data(a(501:end),:);
%  
P_train=Train(:,3:end)';
Tc_train=Train(:,2)';
T_train=ind2vec(Tc_train);
%  
P_test=Test(:,3:end)';
Tc_test=Test(:,2)';
%%  
count_B=length(find(Tc_train==1));
count_M=length(find(Tc_train==2));
rate_B=count_B/500;
rate_M=count_M/500;
net=newlvq(minmax(P_train),20,[rate_B rate_M],0.01,'learnlv1');
%  
net.trainParam.epochs=1000;
net.trainParam.show=10;
net.trainParam.lr=0.1;
net.trainParam.goal=0.1;
%%  
net=train(net,P_train,T_train);
%%  
T_sim=sim(net,P_test);
Tc_sim=vec2ind(T_sim);
result=[Tc_sim;Tc_test]
%%  
total_B=length(find(data(:,2)==1));
total_M=length(find(data(:,2)==2));
number_B=length(find(Tc_test==1));
number_M=length(find(Tc_test==2));
number_B_sim=length(find(Tc_sim==1 & Tc_test==1));
number_M_sim=length(find(Tc_sim==2 &Tc_test==2));
disp([' ：' num2str(569)...
      '   ：' num2str(total_B)...
      '   ：' num2str(total_M)]);
disp([' ：' num2str(500)...
      '   ：' num2str(count_B)...
      '   ：' num2str(count_M)]);
disp([' ：' num2str(69)...
      '   ：' num2str(number_B)...
      '   ：' num2str(number_M)]);
disp([' ：' num2str(number_B_sim)...
      '   ：' num2str(number_B-number_B_sim)...
      '   p1=' num2str(number_B_sim/number_B*100) '%']);
disp([' ：' num2str(number_M_sim)...
      '   ：' num2str(number_M-number_M_sim)...
      '   p2=' num2str(number_M_sim/number_M*100) '%']);
</span>