how do i know the specifications of that neural network??

I have matlab code that employs neural network for fingerprint matching. i want to know the specifications of the neural network used please tell me how do i know that??

thank you.

[Greg Heath]

post the pertinent part of the code

[Nada Alotaibi]

Hi ,

Please i need the code by using CNN for fingerprint matching

you can send that at my email:

[e-mail]

Answer 1

[Greg Heath]

How many classification categories, c ?

What is the dimensionality, I, of the input feature column vectors?

How many input column vectors for each class? N1=?,N2=?,...,Nc=?

Total number of input vectors N = sum(i=1:c){Ni}

Target vectors are N c-dimensional (0,1) unit column vectors from eye(c)

MATLAB classification function documentation:

 help patternnet
 doc patternnet

MATLAB classification examples:

 help nndatasets
 doc  nndatasets

Choose Iris flower classification example:

 [ x, t] = iris_dataset;

 [ I N ] = size( x)

 [ c N ] = size( t )

 truclassindices = vec2ind( t );

Test with the default No. of hidden nodes

 H = 10

 net = patternnet( H );

 rng('default')
 [ net tr y e ] = train( net, x, t );
 % y = net( x );
 % e  = t - y ;

 classindices = vec2ind( t );
 err          = classindices ~= truclassindices;
 Nerr         = sum(err)
 PctErr       = 100*Nerr/N

 tr           = tr    % No semicolon to print the training record to screen

% Individual train/val/test errors for each class can be readily obtained by extracting the individual train/val/test indices from the training record tr.

Hope this helps.

Thank you for formally accepting my answer

Greg