Global Exponential Stability for Complex-Valued Recurrent Neural Networks With Asynchronous Time Delays

@article{Liu2016GlobalES,
  title={Global Exponential Stability for Complex-Valued Recurrent Neural Networks With Asynchronous Time Delays},
  author={Xiwei Liu and Tianping Chen},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2016},
  volume={27},
  pages={593-606}
}
In this paper, we investigate the global exponential stability for complex-valued recurrent neural networks with asynchronous time delays by decomposing complex-valued networks to real and imaginary parts and construct an equivalent real-valued system. The network model is described by a continuous-time equation. There are two main differences of this paper with previous works: 1) time delays can be asynchronous, i.e., delays between different nodes are different, which make our model more… CONTINUE READING