New Conditions on Global Stability of Cohen-Grossberg Neural Networks

Abstract

In this letter, we discuss the dynamics of the Cohen-Grossberg neural networks. We provide a new and relaxed set of sufficient conditions for the Cohen-Grossberg networks to be absolutely stable and exponentially stable globally. We also provide an estimate of the rate of convergence.

Cite

Text

Lu and Chen. "New Conditions on Global Stability of Cohen-Grossberg Neural Networks." Neural Computation, 2003. doi:10.1162/089976603765202703

Markdown

[Lu and Chen. "New Conditions on Global Stability of Cohen-Grossberg Neural Networks." Neural Computation, 2003.](https://mlanthology.org/neco/2003/lu2003neco-new/) doi:10.1162/089976603765202703

BibTeX

@article{lu2003neco-new,
  title     = {{New Conditions on Global Stability of Cohen-Grossberg Neural Networks}},
  author    = {Lu, Wenlian and Chen, Tianping},
  journal   = {Neural Computation},
  year      = {2003},
  pages     = {1173-1189},
  doi       = {10.1162/089976603765202703},
  volume    = {15},
  url       = {https://mlanthology.org/neco/2003/lu2003neco-new/}
}