Robust stability of a class of neural networks with time delays

DOI10.1007/BF02219053zbMath0882.92002OpenAlexW1994406678MaRDI QIDQ1363324

Vladimir L. Kharitonov, Andrew D. B. Paice

Publication date: 10 March 1998

Published in: Journal of Dynamics and Differential Equations (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02219053

zbMATH Keywords

local stabilitylinear dominanceroots of quasipolynomialssensitivity to parameter changes

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear ordinary differential equations and systems (34A34)

Related Items (1)

QUALITATIVE ANALYSIS OF A NEURAL NETWORK MODEL WITH MULTIPLE TIME DELAYS

Cites Work

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• Finiteness results for sigmoidal “neural” networks
• Neurons with graded response have collective computational properties like those of two-state neurons.
• On the zeros of some transcendental functions

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