Generalization of CNN with hysteresis nonlinearity
Angela Slavova · 2002
We introduce a general class of neural networks. This new model covers some of the known neural network architectures, including cellular neural networks and Hopfield networks. Hysteresis feedback networks are introduced and compared to the general Hopfield networks in order to prove the existence of hysteresis phenomena in the network.