Modeling Dynamical Systems By RecurrentNeural Networks
H. G. Zimmermann, Ralph Neuneier · WIT transactions on information and communication technologies · 2000
We present our experiences of time series modeling by finite unfolding in time. The advantage of this approach is that the set of learnable neural network functions is restricted by a set of regularization methods which do not constrain the essential dynamics.