Letters: Stability analysis of a discrete Hopfield neural network with delay

Authors:
Eric C. C. Tsang;S. S. Qiu;Daniel S. Yeung
Affiliations:
Department of Computing, The Hong Kong Polytechnic University,HungHom, Kowloon, HongKong;Department of Computing, The Hong Kong Polytechnic University,HungHom, Kowloon, HongKong;Department of Computing, The Hong Kong Polytechnic University,HungHom, Kowloon, HongKong
Venue:
Neurocomputing
Year:
2007

Citing 4
Cited 1

Asymmetric Hopfield-type networks: theory and applications

Neural Networks
Unsupervised feature selection using a neuro-fuzzy approach

Pattern Recognition Letters
Computers and Intractability: A Guide to the Theory of NP-Completeness

Computers and Intractability: A Guide to the Theory of NP-Completeness
A generalized convergence theorem for neural networks

IEEE Transactions on Information Theory - Part 1

Stability analysis of discrete hopfield neural networks combined with small ones

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I

Quantified Score

Hi-index	0.01

Visualization

Abstract

This letter investigates convergence theorems of a DHNN with delay. We present one generalized updating rule for serial mode. The condition for convergence of a DHNN without delay can be relaxed from a symmetric matrix to a quasi-symmetric matrix. One application is presented to demonstrate the higher convergence speed of our algorithm.