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