Training algorithms for Recurrent Neural Networks, based on the error gradient, are very
unstable in their search for a minimum and require much computational time when the
number of neurons is high. The problems surrounding the application of these methods
have driven us to develop new training tools. In this paper, we present a Real-Coded
Genetic Algorithm that uses the appropriate operators for this encoding type to train …