app1_neu.m

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% Find a NN controller for problem in Appendix 1
% app1_neu.m

% PenChen Chou, Aug. 9, 2001

% Input pattern
P=[  -1 -1;  -1 0;  -1 1;
      0 -1;   0 0;   0 1
      1 -1;   1 0;   1 1];
P=P';
% Target
T=[-1 -1 0 -1 0 1 0 1 1];
% New Feedforward NN
net = newff([-1 1;-1 1],[2 1],{'tansig' 'purelin'},'trainlm');
net.trainParam.epochs = 1500;
net.trainParam.goal = 1e-12;
% Training
net = train(net,P,T);
disp('Press <CR> to continue');pause
% Get the Neural output
Y = sim(net,P);
% Reprint the Target
% Display weights and bias
W10=net.IW{1,1}
B10=net.b{1}
W20=net.LW{2,1}
B10=net.b{2}
% Plot the target and neural outputs
sample=1:length(T);
figure(2);plot(sample,T,'o',sample,T,sample,Y)
title('Desired and Neural output plots')
xlabel('Sample points');
gensim(net,0.1)