Predicting time series using a neural network as a method of distinguishing chaos from noise
James B. Elsner · Journal of Physics A Mathematical and General · 1992
A neural-network approach is presented for making short-term predictions on time series. The neural network does better at short-term predictions of a chaotic signal than does an optimum autoregressive model. Also, the neural network is clearly capable of distinguishing between chaos and additive noise.