A genetic algorithm for training recurrent neural networks
R. Petridis, S. Kazaplis, A. Papaikonomou · 2005
A hybrid genetic algorithm is proposed far training neural networks with recurrent connections. A fully connected recurrent ANN model is employed and tested over a number of problems. Simulation results are presented for three problems: generation of a stable limit cycle, sequence recognition and storage and reproduction of temporal sequences.