Abstract:
The dynamic properties of a class of neural networks (which includes the Hopfield model as a special case) are investigated by studying the qualitative behavior of equili...Show MoreMetadata
Abstract:
The dynamic properties of a class of neural networks (which includes the Hopfield model as a special case) are investigated by studying the qualitative behavior of equilibrium points. The results fall into one of two categories: results pertaining to analysis (e.g., stability properties of an equilibrium, asymptotic behavior of solutions, etc.) and results pertaining to synthesis (e.g. the design of a neural network with prespecified equilibrium points which are asymptotically stable). Most (but not all) of the results presented are global, and their applicability is demonstrated by an example.<>
Published in: IEEE Transactions on Circuits and Systems ( Volume: 35, Issue: 8, August 1988)
DOI: 10.1109/31.1844
Department of Electrical and Computer Engineering, University of Notre Dame, Notre Dame, IN, USA
Department of Electrical and Computer Engineering, University of Notre Dame, Notre Dame, IN, USA
Department of Electrical and Computer Engineering, University of Notre Dame, Notre Dame, IN, USA
Department of Electrical and Computer Engineering, University of Notre Dame, Notre Dame, IN, USA
Department of Electrical and Computer Engineering, University of Notre Dame, Notre Dame, IN, USA
Department of Electrical and Computer Engineering, University of Notre Dame, Notre Dame, IN, USA
