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.
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Kuang, S., Deng, F., Li, X. (2010). Stability and Hopf Bifurcation of a BAM Neural Network with Delayed Self-feedback. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6063. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13278-0_63
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DOI: https://doi.org/10.1007/978-3-642-13278-0_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13277-3
Online ISBN: 978-3-642-13278-0
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