Conclusions
•Given a chaotic time series we can use the Gamma Test to determine an appropriate embedding dimension and then a suitable irregular embedding
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•We then train a feedforward network, using the irregular embedding to determine the number of inputs, so that the output gives an accurate one-step prediction
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•By iterating the network with the appropriate time delays we can accurately reproduce the original dynamics