What is the use of the target matrix and how do i create one?

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Clifford Moses - 2021-07-30T12:52:37+00:00
Question: What is the use of the target matrix and how do i create one?

We are developing a neural network for classification there are 72 signals and there are 100 samples of each signal. We have extracted 49 parameters from each signal. What should my target matrix contain  

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    • Expert Answer

    Profile picture of Prashant Kumar Prashant Kumar answered . 2025-11-20

    The current neural network classification function is PATTERNNET (replacing the obsolete NEWPR). The syntax of the target matrix for N I-dimensional column inputs that are to be assigned into into 1 of c classes is N c-dimensional {0,1} unit vectors from the unit matrix eye(c).
     
     [ I N ] = size(input)
 [ c N ] = size(target)

    The transformation between the true class index row vector and the corresponding target matrix is

    target       = full(ind2vec(trueclassind)) 
trueclassind = ind2vec(target)

    Therefore, if the classifier output is

     output = target+ randn(1,N)

    the estimated classindex and error vectors are

     estclassind = vec2ind(output)
 error       = estclassind~=trueclassind
 Nerr        = sum(error)
 PctErr      = 100*Nerr/N

    1. Test the above code with N = 9,

     classind = [ 9 7 5 3 1 8 6 4 2 ]

    2. See the online documentation

     help patternnet
 doc patternnet

    3. Search both the NEWSGROUP and ANSWERS for my examples

     greg patternnet


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