How to know the output in Neural Network Pattern Recognition?

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Aeri
Aeri 2016-1-11
评论： Aeri 2016-1-13
hello guys! i'm a beginner in using matlab neural network pattern recognition and I can't understand the output part. How could I show the intended output after training? For example in the load example data about the type of glass, how can I say if the sample is a window glass or not? I want to show something like this after the data has been recognize if it is indeed a window glass, "The sample is a window glass". What should I do?
I hope someone can answer me or atleast give some idea. Thanks.
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Sivakumaran Chandrasekaran
Sivakumaran Chandrasekaran 2016-1-13
what value you got when you use the command sim... use that value as threshold
Aeri
Aeri 2016-1-13
[Y,Pf,Af,E,perf] = sim(net,P,Pi,Ai,T) - is this the command sim? Because after I put that, my Y, which is the network output gives a matrix output. Or do I still have to compute for the threshold value?
Sorry for all the questions, still in my beginning stage.

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Greg Heath
Greg Heath 2016-1-13
For classification/pattern-recognition into c classes, the columns of the target matrix should be columns of the {0 1 } unit matrix eye(c).
The transformation between classindices and target matrix are obtained via the functions ind2vec and vec2ind.
trueindices = [ 5 3 1 2 4 ]
target = full(ind2vec(trueindices))
output = target + 0.15*randn(5)
predindices = vec2ind(output)
Hope this helps.
Thank you for formally accepting my answer
Greg
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Aeri
Aeri 2016-1-13
I think I got it with the use of vec2ind. I think I'm just going to compare the input and the output to get a result.
Thanks for the answers guys!

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