Absolute stability of analytic neural networks: an approach based on finite trajectory length

A neural network (NN) is said to be convergent (or completely stable) when each trajectory tends to an equilibrium point (a stationary state). A stronger property is that of absolute stability, which means that convergence holds for any choice of the neural network parameters, and any choice of the...

Ausführliche Beschreibung