Global exponential stability and periodicity of recurrent neural networks with time delays

By Jinde Cao, Jun Wang. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2005

312 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/b530d2e2f1eb6c76e9db335c4cb4aa2f8bc56d71

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. Min Wu
2. Yong He
3. David Rees
4. Guoping Liu
5. Huaguang Zhang
6. Zhanshan Wang
7. G. Huang
8. Zhenwei Liu

In Computer Networks and Communications

1. Yong He
2. Min Wu
3. Guoping Liu
4. David Rees
5. Qing-Long Han
6. James Lam
7. Hongbing Zeng
8. Jin-Hoon Kim

In Statistical and Nonlinear Physics

1. David Rees
2. Min Wu
3. Yong He
4. Guoping Liu
5. G. Duan

Citations in the corpus

• Stability Analysis for Neural Networks With Time-Varying Interval Delay (2007, methodology): “Neural algorithms for tracking were developed based on Widrow's adaline [10], a pioneering neural network (NN) combining neural architecture and a model-based structure suitable for tracking a single target.”
• New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay (2007, unknown): “[ 11 ] G. H. Golub, M. Heath, and G. Wahha, “Generalized cross-validation”