How to use a trained recurrent neural network on new input data (without having output data!)

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Hamid Radmard Rahmani
I have trained a RNN in matlab and I want to use it to predict the outputs for an input vector. but in order to use the net, always the output vector is also required!
even for one-step ahead net without loop! I have tried to feed the one-step ahead net by creating a for loop and build an input vector in each time-step by combining X(t) and the output of RNN from previous time-step as follow:
Xi=0; % Assumed output for the first timestep
for j=1:size(X,2)
input={X(:,j);Xi}; % It is like using function
ys = nets(input); % get the output of RNN
y(end+1)=cell2mat(ys); % convert it to mat and save it
Xi=cell2mat(ys); % save the last output for next input
end
But the performance is very bad so it seems that something is wrong.
what is the solution?

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