How can i predict data by using neural network from input after fitting the data??

I used Neural Network fitting tool for training my data and got outputs for each target that i supplied to the network. Those outputs are well within the error range and give a good fit for the network. But, now i want to predict output based on input samples not included within the data set that i previously provided to the nnftool for getting the outputs. Please tell me how i can do that? The input samples are withing the training set range.

ANSWER

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Incorrect understanding:

Generalization: Ability to perform well on nontraining data

Overfitting: Number of training equations, Ntrneq, not being sufficiently larger than the number of unknown weights, Nw, can be a cause of DECREASED generalization.

Mitigation: Either increase Ndof and/or use validation stopping(default) and/or use regularization (e.g., TRAINBR)

Insufficient information:

size(input)  = [ I N ] = [ ? ? ]
 size(target) = [ O N ] = [ ? ? ]
 default number of training examples Ntrn = N-2*round(0.15*N) = ?
 number of training equations Ntrneq = Ntrn*O
 reference mean-square errors
       MSEtrn00  = mean(var(trntarget',1)) % Biased
       MSEtrn00a = mean(var(trntarget',0))% DOF adjusted
       MSEval00  = mean(var(valtarget',1)) % Unbiased
       MSEtst00  = mean(var(tsttarget',1)) % Unbiased

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How can i predict data by using neural network from input after fitting the data??

How can i predict data by using neural network from input after fitting the data??