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Proceedings Paper

Dynamical analysis of variable-structure neural systems
Author(s): Anke Meyer-Baese
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Paper Abstract

We establish robustness stability results for a large class of artificial neural networks for associative memories under parameter perturbations and determine conditions that ensure the existence of asymptotically stable equilibria of the perturbed neural system that are near the asymptotically stable equilibria of the original unperturbed neural network. The proposed stability analysis tool is the sliding mode control and it facilitates the analysis by considering only a reduced-order system instead of the original one and time-dependent external stimuli.

Paper Details

Date Published: 4 April 1997
PDF: 7 pages
Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); doi: 10.1117/12.271524
Show Author Affiliations
Anke Meyer-Baese, Technische Univ. Darmstadt (Germany)


Published in SPIE Proceedings Vol. 3077:
Applications and Science of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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