Global exponential stability of delayed Hopfield neural networks

By Tianping Chen. Neural Networks, 2001

304 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/1cecbc96e731421453a8ba67a2352e066655a050

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jun Wang
2. Jinde Cao
3. Huaguang Zhang
4. Derong Liu
5. Zhanshan Wang
6. Wenlian Lu
7. Tianping Chen
8. Ding Wang

In Computer Networks and Communications

1. Jinde Cao
2. Jun Wang
3. Tianping Chen
4. Huaguang Zhang
5. Zhanshan Wang
6. Wenlian Lu
7. Guanrong Chen
8. Derong Liu

In Statistical and Nonlinear Physics

1. Jinde Cao
2. Jun Wang
3. Tianping Chen
4. Wenlian Lu
5. Huaguang Zhang
6. Zhanshan Wang
7. Derong Liu
8. Guanrong Chen

Citations in the corpus

• A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks (2014, background): “Therefore, the study of effects of time delay on stability and convergence of neural networks has attracted considerable attentions in neural network community [9], [21], [25], [54], [113], [236], [237].”
• Synchronization of coupled connected neural networks with delays (2004, background): “Most of previous studies are concentrated on such issues as stability analysis [1], [4]–[6] and periodic oscillation [7].”
• Global asymptotic and robust stability of recurrent neural networks with time delays (2005, methodology): “In [16] and [19], the conditions for the existence of equilibrium point, boundedness of trajectories and the global stability of bi-directional associative memory (BAM) network with time delay are investigated yielding results of significant generality which are expected being useful in BAM design.”