Stability Analysis Of A Generalized Class Of Bam Neural Networks With Mixed Delays
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: THEORETICAL NEURAL COMPUTATION, PT I(2019)
摘要
In this paper, we shall establish the existence and the uniqueness of the unique equilibrium point of a class of generalized BAM neural networks. We will construct a new and suitable Lyapunov function to derive the sufficient conditions which ensure that the equilibrium point exist and it is globally exponentially stable. A numerical example is given in order to confirm the theoretical developments of this paper.
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关键词
Bidirectional associative memory networks, Equilibria, Mixed delays, Exponential stability
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