Artificial neural networks in artificial time s eries prediction benchmark
David Sámek, David Maňas · Repository of TBU publications (Univerzita Tomase Bati ze Zline) · 2011
The work is aimed to research of predicting abilities of artificial neural networks. The characteristic samples of artificial neural network types were selected to be compared in numerous simulations, while influences of key parameters are studied. The tested artificial networks are as follows: multilayered feed-forward neural network, recurrent Elman neural network, adaptive linear network and radial basis function neural network.