Boundedness and stability for Cohen–Grossberg neural network with time-varying delays☆

By Jinde Cao, Jinling Liang. 2004

355 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/2a02084740185567b0de0c032993cddba6607b0e

How researchers see this paper

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

In Computer Networks and Communications

1. Wenwu Yu
2. Jinde Cao
3. Jinhu Lu
4. Guanrong Chen
5. Huaguang Zhang
6. Zhanshan Wang
7. Derong Liu
8. Jürgen Kurths

In Statistical and Nonlinear Physics

1. Wenwu Yu
2. Jinde Cao
3. Jinhu Lu
4. Huaguang Zhang
5. Zhanshan Wang
6. Derong Liu
7. Guanrong Chen
8. Jürgen Kurths

Citations in the corpus

• A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks (2014, methodology): “different analysis and proof methods, such as M-matrix [16], [28], [38], [149], [182], [191], [301]; algebraic inequality [20],”
• Global Synchronization of Linearly Hybrid Coupled Networks with Time-Varying Delay (2008, background): “Over the last few years, complex networks have received increasing attention from all fields of sciences and humanities [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40].”