MATLAB: How Should I set the matrix of the input and Target for the problem

matrixneural networkneural networksrow matrixsquare matrix

My input matrix contains five elements : a , b , c , d ,e

that I will give 40 different values to them , and for each time , the output , will be a 6 *6 matrix

so how should the matrices of input and target be structured to define this condition ??

For N pairs of I-dimensional input vectors and corresponding O-dimensional target vectors

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

For your problem

 I = 5, N = 40, O = 36
 If a is the 3rd 6x6 image, the corresponding target column is
 target(:,3) = a(:);

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

Typically N I-dimensional "I"nput vectors are paired with N O-dimensional "O"utput target vectors and stored in matrices with sizes

 [ I N ]   = size(input)
 [ O N ]   = size(target)
 net = fitnet;

% Equivalent to net = fitnet(H) for H = 10 where H is the number of hidden nodes

 [ net tr output error ] = train(net,input,target);

% where tr is the training record, output = net(input) and error = target-output;

See the documentation

 help fitnet
 doc fitnet

Hope this helps.

Thank you for formally accepting my answer

Greg