On stability of recurrent neural networks--an approach from volterra integro-differential equations.
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.
Liu
Pingzhou
P
Han
Qing-Long
QL