Multiple and time-varying dynamic modelling capabilities of recurrent neural networks

We propose some theories regarding the dynamical system representational capabilities of recurrent neural networks with real-valued inputs and outputs. It is shown that multiple nonlinear dynamic systems can be approximated within a single nonlinear model structure. A relationship is identified between this class of recurrent network, hybrid models and agent based systems.