Global learning algorithms for discrete-time cellular neural networks
H. Magnussen, Josef A. Nossek · 2002
Two learning algorithms for discrete-time cellular neural networks (DTCNNs) are proposed, which do not require the a priori knowledge of the output trajectory of the network. A cost function is defined, which is minimized by direct search optimization methods and simulated annealing.>