Abstract
This paper proposes a direct synaptic weight training technique for a class of additive dynamic auto-associative neural networks based on the Cohen-Grossberg neuronal activation model. The proposed technique is based on the Jurdjevic-Quinn stabilization method for control affine systems. Asymptotic stability of the training law is guaranteed and regions of attraction around each point attractor are predefined. The proposed technique requires the solution of significantly fewer non-linear differential equations and is considerably simpler and faster than existing training techniques.
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