A genetic algorithm for training recurrent neural networks

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.