I am creating a 'feedforwardnet' and using 'mapstd' to normalize the input

[pn,ps]=mapstd(training_data);

[tn,ts]=mapstd(target_data);

now I want to calculate various error functions RMSE, correlation coeff R, model efficiency MEnash etc. So how can I find the output data of the trained network corresponding to target data?

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