Stability Analysis for Neural Networks With Time-Varying Interval Delay

By Yong He, Guoping Liu, David Rees, Min Wu. IEEE Transactions on Neural Networks, 2007

320 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ed2dbb3b56c27836627b629a932f9af8cefa378e

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. Huaguang Zhang
2. Zhanshan Wang
3. G. Huang
4. Zhenwei Liu
5. Min Wu
6. Yong He
7. Lei Chen
8. Chee Kheong Siew

In Computer Networks and Communications

1. Hongbing Zeng
2. Yong He
3. Min Wu
4. Huaguang Zhang
5. Zhanshan Wang
6. Shenping Xiao
7. G. Huang
8. Zhenwei Liu

In Electrical and Electronic Engineering

1. Huaguang Zhang
2. Zhanshan Wang
3. Min Wu
4. G. Huang
5. Zhenwei Liu
6. Hongbing Zeng
7. Yong He
8. Derong Liu

Citations in the corpus

• Less conservative results on stability for linear systems with a time‐varying delay (2013, methodology): “However, as pointed out in [16], the term .”
• A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks (2014, unknown): “The delay interval 0 ≤ τ (t) ≤ τ has been replaced by 0 ≤ τ ≤ τ (t) ≤ τ since 2007 [94], [328].”
• Novel Weighting-Delay-Based Stability Criteria for Recurrent Neural Networks With Time-Varying Delay (2010, methodology): “The corresponding results are given in Table II by using Theorem 1, Theorem 2, and Corollary 1 of this paper and methods in [22] and [24]–[ 26 ], when different and parameter are set, respectively.”