Finding optimal architecture of neural networks for predicting referrals on the virtual museums website

This paper presents applying two neural network models for time series prediction problems. focused choosing optimal architecture of Elman and feedforward neural networks for time series prediction. Topics discussed include neural network design, overview methods of forecasting, sliding window method, training and testing of network, training algorithms and all results obtained with neural network toolbox in MATLAB.