MATLAB: Question about inputs and targer in the fitting tool for the neural matrix

neural network nnstart fitting tool

Hello i wanna classify samples with reural network so can i have a matrix (165×12 15840 double) as inputs and a matrix ( 165×1 20316 cell) as target

For classification of N I-dimensional inputs into c classes, use matrices with dimensions

 [ I N ] = size(input)
 [ c N ] = size(target)

where target colmns are columns of eye(c).

Hope this helps.

Thank you for formally accepting my answer

Greg

N examples of an I-dimensional input and the corresponding O-dimensional target output:

 [ I N ] = size(input)
 [ O N ] = size(target)

Hope this helps.

Thank you for formally accepting my answer

Greg

If there are c classes or categories and N examples of I-dimensional inputs.

 [ I N ] = size(input)
 [ c N  ] = size(target)

where the target matrix contains c-dimensional {0,1} unit vectors satisfying

 sum(target)           = ones(1,N)
 vec2ind(target)       = classindices
 ind2vec(classindices) = target

Look at the target vectors of the classification data examples in

 help nndatasets
 doc nndatasets

Hope this helps.

Thank you for formally accepting my answer

Greg