Hello.
I have this code.
net = feedforwardnet(20); net.layers{1}.transferFcn = 'tansig'; net.layers{2}.transferFcn = 'purelin';
net.divideParam.trainRatio=.7; net.divideParam.valRatio=.15; net.divideParam.testRatio=.15; net.trainParam.max_fail = 500; net.trainParam.epochs = 500; net.trainParam.goal = .001;
i=0; fecha = datetime('now'); disp(fecha);
Input = xlsread('Datos',4);
Target = xlsread('Datos',5);
Sample = xlsread('Datos',6);
for n = drange(1:4)
i=i+1;
disp(i);
net=train(net,Input,Target);
[net,tr] = train(net,Input,Target);
end;
Y = net(Sample); Output = net(Target); y = net(Input); plotconfusion(Target,Output); Sample1 = sort(Sample,'descend'); plot(Sample1,'DisplayName','Modelo');hold on;plot(Sample,'DisplayName','Real');figure() [r,m,b] = regression(Output,y); plotregression(Target,Output); perf = perform(net,y,Target);
plotperform(tr); archivo = fopen('C:\Users\Pablo\Desktop\Neurona\Salida.txt','a'); fprintf(archivo,datestr(now, 'dd-mmm-yyyy\r\n')); fprintf(archivo,'%3.0f\r\n',Y); fclose(archivo); fprintf('%3.0f\n',round(Y)); fecha = datetime('now'); disp(fecha);
After traing and use the sim() I get a result, but How can a I make change a target using the same trained neuron ?? or a machine learning. Please some example to see ... Thank.
