Long-Term Prediction, Chaos and Artificial Neural Networks. Where is the Meeting Point?

Abstract

paper presents the advances of a research using a combination of recurrent and feed-forward neural networks for long term prediction of chaotic time series. It is known that point-to-point, long term prediction for chaotic time series is not possible; however, in this research we are looking for ways to build dynamical systems using artificial neural… (More)

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