MATLAB: Neural network code gives wrong output.!

featuresneural network

load('testfea.mat')
load('trainfea.mat')
T = [1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 6 7 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 11 11 11 11 11 11 11 11 12 12 12 12 12 12 12 12 13 13 13 13 13 13 13 13 14 14 14 14 14 14 14 14 15 15 15 15 15 15 15 15 16 16 16 16 16 16 16 16];
P = trainfea'; 
net = newff(minmax(P),[6 1],{'tansig' 'purelin'});
Y = sim(net,P);
net.trainParam.epochs = 50;
net = train(net,P,T);
P = testfea';
Y = sim(net,P)
trainfea is 128×22 and testfea is 1×22 data, trainfea already contains testfea. But this code gives wrong index as output. Please correct my code for matching.!

Best Answer

1. What version of MATLAB do you have?
2. Why are you using the extremely obsolete function NEWFF?
3. Do you have the current functions
     FITNET(regression/curvefitting) 
     and 
      PATTERNNET(classification/pattern-recognition)?
4. Why are you using non-default values of 6 and 50? Don't the defaults work?
5. There is no purpose of using Y = sim with a semicolon before training
6. What does " trainfea already contains testfea " mean??
7. You will probably have to design several nets in a loop to account for the random initial weights.
8. Search NEWSGROUP & ANSWERS using
      greg newff   
or
    greg fitnet
for examples.
Hope this helps.
Thank you for formally accepting my answer
Greg
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