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Recurrent neural networks (RNNs) are well known for their capability in minimizing suitable cost functions. Therefore they are used to solve classification and optimization problems in many scientific disciplines. This can be done because they are stable in the sense of Lyapunov. A RNN can be globally or locally stable depending on the fulfilled inherent stability conditions. When using a RNN in an...
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