Global convergence and suppression of spurious states of the Hopfield neural networks

DOI10.1109/81.224297zbMath0800.94229OpenAlexW2162611718MaRDI QIDQ4277110

Shigeo Abe

Publication date: 7 February 1994

Published in: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/81.224297

Mathematics Subject Classification ID

Circuits, networks (94C99) Burst-correcting codes (94B20)

Related Items (8)

A continuous Hopfield network equilibrium points algorithm ⋮ Global dissipativity of memristor-based neutral type inertial neural networks ⋮ A study of the transiently chaotic neural network for combinatorial optimization. ⋮ A novel approach based on recurrent neural networks applied to nonlinear systems optimization ⋮ Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization ⋮ A columnar competitive model for solving multi-traveling salesman problem ⋮ On the convergence of iterative receiver algorithms utilizing hard decisions ⋮ A review of Hopfield neural networks for solving mathematical programming problems

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