Journal
NEUROCOMPUTING
Volume 275, Issue -, Pages 2762-2768Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2017.11.041
Keywords
Complex-valued neural networks; Boundedness; Stability; Equilibrium point; Variable coefficient; Proportional delays
Categories
Funding
- National Natural Science Foundation of China [61773004, 61473332]
- Program of Chongqing Innovation Team Project in University [CXTDX201601022]
Ask authors/readers for more resources
In this paper, the dynamics including boundedness and stability for a general class of complex-valued neural networks with variable coefficients and proportional delays are investigated. By employing inequality techniques and mathematical analysis method, some sufficient criteria to guarantee boundedness and global exponential stability are established for the considered neural networks. As a special case that the coefficients of networks are constants, sufficient criteria are also derived to guarantee the existence, uniqueness and global exponential stability of the equilibrium point. This work generalizes and improves previously known results, and the obtained criteria can be tested and applied easily in practice. An illustrative example demonstrates the feasibility of the proposed results. (c) 2017 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available