Abstract
In this paper, we consider a bidirectional associate memory(BAM) neural networks with delayed self-feedback. Regarding the self-connection delay as the bifurcation parameter, the linear stability and Hopf bifurcation analysis are carried out. The stability and direction of the Hopf bifurcation are determined by applying the normal form theory and the center manifold reduction. Numerical simulation results are given to support the theoretical predictions.KeywordsNeural networkDelayStabilityHopf bifurcation
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
