On Stability of Recurrent Neural Networks—An Approach From Volterra Integro-Differential Equations
P. Liu, Qing‐Long Han · IEEE Transactions on Neural Networks · 2006
The uniform asymptotic stability of recurrent neural networks (RNNs) with distributed delay is analyzed by comparing RNNs to linear Volterra integro-differential systems under Lipschitz continuity of activation functions. The stability criteria obtained have unified and extended many existing results on RNNs.