prex1mod.m

模式识别工具箱,本人毕业论文时用到的,希望对大家有用!

%PREX1 PRTOOLS example of classifiers and scatter plot
help prex1
pause(1)
echo on
A = gendatb(200,200); % Generate banana-shaped classes
						% Training set c (40 objects / class)
						% Test set d (160 objects / class)
[C,D] = gendat(A,40);

echo off
num_hidden=input('Quanti neuroni nello strato hidden?');
echo on
w1 = lmnc(C,num_hidden);% Neural Net
						% Compute and display errors
disp([testd(C*w1)]);
                  % Plot data and classifiers
figure(1);
hold off;
scatterd(C,'.'); drawnow;% make scatter plot for right size
plotd(w1,'col'); drawnow;
hold on;
scatterd(C); drawnow;
                  
                  
disp([testd(D*w1)]);

% Plot data and classifiers
figure(2);
                
hold off;
scatterd(D,'.'); drawnow;% make scatter plot for right size
plotd(w1,'col'); drawnow;
hold on;
scatterd(D); drawnow;

echo off