Standard representation and stability analysis of dynamic artificial neural networks: A unified approach

A framework and stability conditions are presented for the analysis of stability of three different classes of dynamic artificial neural networks: (1) neural state space models, (2) global input-output models, and (3) dynamic recurrent neural networks. The models are transformed into a standard nonl...

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Bibliographische Detailangaben

Hauptverfasser:	Kim, K. K. K., Patron, E. R., Braatz, R. D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Asymptotic stability Linear matrix inequalities Neural networks Nonlinear dynamical systems Stability criteria Transmission line matrix methods
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