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The prediction of future values of a time series generated by a chaotic dynamical system is a challenging task. Recently, the use of recurrent neural networks (RNN) models appears. An evolving neural network (ERNN) is proposed for the prediction of chaotic time series, which estimates the proper parameters of phase space reconstruction and optimizes the structure of recurrent neural networks by evolutionary...
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