General asymmetric neutral networks and structure design by genetic algorithms: A learning rule for temporal patterns
CA (United States) Lawrence Berkeley Lab., S. Bornholdt, USDOE, Washington, DC (United States), Dirk Graudenz · 1993
A learning algorithm based on genetic algorithms for asymmetric neural networks with an arbitrary structure is presented. It is suited for the learning of temporal patterns and leads to stable neural networks with feedback.