Lyapunov stability analysis of gradient descent-learning algorithm in network training

DOI10.5402/2011/145801zbMath1238.93069OpenAlexW2159765810WikidataQ58688745 ScholiaQ58688745MaRDI QIDQ420144

Ahmad Banakar

Publication date: 21 May 2012

Published in: ISRN Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5402/2011/145801

zbMATH Keywords

learning algorithmLyapunov stabilitynetwork training

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

Related Items (1)

On delay independent stabilization analysis for a class of switched large-scale time-delay systems

Uses Software

• ANFIS

Cites Work

• Mechanical system modelling using recurrent neural networks via quasi- Newton learning methods
• Fuzzy identification of systems and its applications to modeling and control
• Generalized predictive control based on self-recurrent wavelet neural network for stable path tracking of mobile robots: adaptive learning rates approach

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