@Article{JMS-50-4,
author = {Yajing, Wang and Zhenkun, Huang},
title = {An Analysis of Complex-Valued Periodic Solution of a Delayed Discontinuous Neural Networks},
journal = {Journal of Mathematical Study},
year = {2017},
volume = {50},
number = {4},
pages = {323--338},
abstract = {<p style="text-align: justify;">In this paper, we investigate global stability of complex-valued periodic solution
of a delayed discontinuous neural networks. By employing discontinuous, nondecreasing
and bounded properties of activation, we analyzed exponential stability
of state trajectory and $L^1$−exponential convergence of output solution for complex-valued
delayed networks. Meanwhile, we applied to complex-valued discontinuous
neural networks with periodic coefficients. The new results depend on $M$−matrices of
real and imaginary parts and hence can include ones of real-valued neural networks.
An illustrative example is given to show the effectiveness of our theoretical results.</p>},
issn = {2617-8702},
doi = {https://doi.org/10.4208/jms.v50n4.17.03},
url = {https://global-sci.com/article/87780/an-analysis-of-complex-valued-periodic-solution-of-a-delayed-discontinuous-neural-networks}
}