Creating a feature vector & target vector to feed into neural network

Hi,

I am working on handwritten character recognition using neural networks. I am extracting 85*1 features of single image (ex : character 'A'). In the same way I am getting 85 *1 features for each 26 characters. Now, I want to create feature vector and target vector(26 classes) for these extracted features. Can anyone please tell me how to create a single feature vector and target vector for all those extracted features of 26 characters so that I can feed them to neural network?

Answer 1

[Greg Heath]

 size(input) = [ 85 26 ]

 target = ind2vec(1:26);

 net = patternnet(H) ;% Determine H by trial and error

 help patternnet
 doc patternnet

Also search using

 greg patternnet Ntrials

Hope this helps.

Thank you for formally accepting my answer

Greg