Hopfield neural networks for on-line parameter estimation

DOI10.1016/J.NEUNET.2009.01.015zbMath1338.93124OpenAlexW1983627350WikidataQ51838136 ScholiaQ51838136MaRDI QIDQ280339

Paula Rocha, Teresa Mendonça, Hugo Alonso

Publication date: 10 May 2016

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2009.01.015

zbMATH Keywords

Lyapunov stability theoryHopfield neural networksonline parameter estimation

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Neural networks for/in biological studies, artificial life and related topics (92B20) Dynamical systems in control (37N35) Stability of control systems (93D99)

Related Items (3)

A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis ⋮ Estimation of parameters based on artificial neural networks and threshold of HIV/AIDS epidemic system in Cuba ⋮ A 2D Hopfield neural network approach to mechanical beam damage detection

Cites Work

• ``Neural computation of decisions in optimization problems
• Decentralized Maximum-Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems
• Consensus in Ad Hoc WSNs With Noisy Links—Part I: Distributed Estimation of Deterministic Signals
• Nonlinear Systems Analysis
• Neurons with graded response have collective computational properties like those of two-state neurons.
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Hopfield neural networks for on-line parameter estimation