New Stability Criteria for High-Order Neural Networks with Proportional Delays

DOI10.1088/0253-6102/67/3/235zbMath1360.82072OpenAlexW2595946438MaRDI QIDQ2980157

Chang-Jin Xu, Pei-Luan Li

Publication date: 28 April 2017

Published in: Communications in Theoretical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/0253-6102/67/3/235

zbMATH Keywords

exponential stabilityBrouwer fixed point theoremhigh-order neural networksproportional delaysdelay differential inequality

Mathematics Subject Classification ID

Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Applications of functional analysis in optimization, convex analysis, mathematical programming, economics (46N10) Neural nets and related approaches to inference from stochastic processes (62M45)

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