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4 April 1997 Dynamical analysis of variable-structure neural systems
Anke Meyer-Baese
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Proceedings Volume 3077, Applications and Science of Artificial Neural Networks III; (1997) https://doi.org/10.1117/12.271524
Event: AeroSense '97, 1997, Orlando, FL, United States
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.
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Anke Meyer-Baese "Dynamical analysis of variable-structure neural systems", Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); https://doi.org/10.1117/12.271524
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KEYWORDS
Artificial neural networks
Content addressable memory
Control systems
Neural networks
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