Recurrent neural networks: overview and perspectives
Anthony N. MICHEL · 2003
In the implementation of artificial neural networks, several limitations are encountered which may affect their qualitative behavior and performance. These include delays, parameter perturbations and interconnection constraints. Depending on the particular type of implementation, more than one of these limitations will usually be encountered simultaneously. In the present paper, we address these issues.