how to test a trained network with new data?

i have created a network for classification by using of paternnet and have trained it with input and target data. now I want to chek this network with a new data and find the classes that this data is related to. what should i do now?

Answer 1

[Greg Heath]

 trueclass        = vec2ind(target)  % Unit vector target columns --> class indices
 [net tr output ] = train(net,input,target);
 assignedclass    = vec2ind(output)
 err              = assignedclas~=trueclass
 Nerr             = sum(err)

 newoutput        = net(newinput)
 newassignedclass = vec2ind(newoutput)

Thank you for formally accepting my answer

Greg