Global Exponential Stability of Multitime Scale Competitive Neural Networks With Nonsmooth Functions


In this paper, we study the global exponential stability of a multitime scale competitive neural network model with nonsmooth functions, which models a literally inhibited neural network with unsupervised Hebbian learning. The network has two types of state variables, one corresponds to the fast neural activity and another to the slow unsupervised… (More)
DOI: 10.1109/TNN.2006.875995


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