Stability criteria for three-layer locally recurrent networks
نویسنده
چکیده
The paper deals with a discrete-time recurrent neural network designed with dynamic neuron models. Dynamics are reproduced within each single neuron, hence the considered network is a locally recurrent globally feedforward. In the paper, conditions for global stability of the neural network considered are derived using the Lyapunov’s second method.
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Nl Q Theory: Checking and Imposing Stability of Recurrent Neural Networks for Nonlinear Modelling
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